2268 lines
59 KiB
Markdown
2268 lines
59 KiB
Markdown
# Overview
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Below is a description of the major feature groups which are input to the Twitter Heavy Ranking model.
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Note that not every request will have every feature available due to user settings or other constraints and there may be some differences in ranking "For You" based on different variables.
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## Aggregate Features
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Twitter's aggregate features comprise the bulk of Twitter's feature count and are generated by maintaining rolling aggregations of feature values within a specific scope within a specific time window. We compute aggregates over the long-term (50 days count) and short-term ("real-time" - under 3 days count and typically 30 mins count).
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<details>
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<summary><b>Show Details</b></summary>
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Aggregate features are groups of multiple features generated as Cartesian crosses from a template and have the format
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<table>
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<tr>
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<td><b>Feature Group Name</b></td>
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<td><b>Engagement Scope</b></td>
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<td><b>Feature To Aggregate</b></td>
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<td><b>Aggregation Spec</b></td>
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</tr>
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</table>
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<ul>
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<li> The <b>Feature Group Name</b> is both the name of the aggregate feature and contains internally the aggregation scope, that is, what entities are aggregated over.
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<ul>
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<li> For example, <code>"user_aggregate"</code> aggregates over unique user_ids, and <code>"user_author_aggregate"</code> aggregates over all user-author pairs. It also determines what fields the feature is joined to when being used. In the case of <code>"user_author_aggregate"</code>, the feature is joined to data corresponding to the specific user and the specific author.
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<li> The raw feature group names are often verbose and are simplified in the below presentation.
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</ul>
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<li> <b>Engagement Scope</b> is the subset of tweets within the aggregation scope that will be aggregated over. Typically this is the name of an output engagement, like <code>recap.engagement.is_favorited</code>. In that case, we only aggregate over Tweets which are also Liked.
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<li> The <b>Feature To Aggregate</b> is the feature we are accumulating over. If this value is <code>any_feature</code>, that means we aggregate the Tweet count. For example <code>user_aggregate_v2.pair.recap.engagement.is_favorited.any_feature.50.days.count</code> will be the number of Liked records for every user over the last 50 days.
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<li> The <b>Aggregation Spec</b> is what aggregate to compute - what function and over what time window.
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</ul>
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For every Feature Group, we generate one feature for every possible combination of Engagement Scope, Feature To Aggregate, and Aggregation Spec. In particular, every row in the below tables generate one feature for every possible cross between columns.
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<b>Example</b>:
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For example, one such feature may be <code>user_aggregate_v2.pair.recap.engagement.is_favorited.engagement_features.in_network.replies.count.50.days.count</code>, which can be parsed into
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<table>
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<tr>
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<td><b>Feature Group Name</b></td>
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<td><b>Engagement Scope</b></td>
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<td><b>Feature To Aggregate</b></td>
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<td><b>Aggregation Spec</b></td>
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</tr>
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<tr>
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<td><code>user_aggregate_v2.pair</code></td>
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<td><code>recap.engagement.is_favorited</code></td>
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<td><code>engagement_features.in_network.replies.count</code></td>
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<td><code>50.days.count</code></td>
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</tr>
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</table>
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This means that this feature aggregates
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<ol>
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<li> (Over every user),
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<li> (Over only tweets favorited by the user),
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<li> In network replies sent out by this user,
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<li> (Counted over the last 50 days)
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</ol>
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This feature is then made available as a feature for the particular user.
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</details>
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The list of our aggregate features are below:
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<details>
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<summary><b><code>author_aggregate</code></b></summary>
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These features aggregate over the author (or original author) of a tweet. Some of the features are short-duration (30 minutes) and some longer (50 days). The features track how many of an author's tweets were engaged with.
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<br>
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<table>
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<tr>
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<td>
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<code>
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author (real_time)
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</code>
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</td>
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<td>
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<code>
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timelines.enagagement.is_retweeted_without_quote <br>
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timelines.engagement.is_clicked <br>
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timelines.engagement.is_dont_like <br>
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timelines.engagement.is_dwelled <br>
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timelines.engagement.is_favorited <br>
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timelines.engagement.is_followed <br>
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timelines.engagement.is_open_linked <br>
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timelines.engagement.is_photo_expanded <br>
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timelines.engagement.is_profile_clicked <br>
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timelines.engagement.is_quoted <br>
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timelines.engagement.is_replied <br>
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timelines.engagement.is_retweeted <br>
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timelines.engagement.is_tweet_share_dm_clicked <br>
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timelines.engagement.is_tweet_share_dm_sent <br>
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timelines.engagement.is_video_playback_50 <br>
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timelines.engagement.is_video_quality_viewed <br>
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timelines.engagement.is_video_viewed <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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</code>
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</td>
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<td>
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<code>
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30.minutes.count
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</code>
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</td>
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</tr>
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<tr>
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<td>
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<code>
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original_author (real_time)
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</code>
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</td>
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<td>
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<code>
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timelines.enagagement.is_retweeted_without_quote <br>
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timelines.engagement.is_clicked <br>
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timelines.engagement.is_dont_like <br>
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timelines.engagement.is_dwelled <br>
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timelines.engagement.is_favorited <br>
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timelines.engagement.is_followed <br>
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timelines.engagement.is_open_linked <br>
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timelines.engagement.is_photo_expanded <br>
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timelines.engagement.is_profile_clicked <br>
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timelines.engagement.is_quoted <br>
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timelines.engagement.is_replied <br>
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timelines.engagement.is_retweeted <br>
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timelines.engagement.is_tweet_share_dm_clicked <br>
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timelines.engagement.is_tweet_share_dm_sent <br>
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timelines.engagement.is_video_playback_50 <br>
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timelines.engagement.is_video_quality_viewed <br>
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timelines.engagement.is_video_viewed <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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</code>
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</td>
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<td>
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<code>
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30.minutes.count
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</code>
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</td>
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</tr>
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<tr>
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<td>
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<code>
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original_author (real_time)
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</code>
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</td>
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<td>
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<code>
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timelines.engagement.is_share_menu_clicked <br>
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timelines.engagement.is_shared <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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</code>
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</td>
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<td>
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<code>
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30.minutes.count <br>
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1.days.count <br>
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</code>
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</td>
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</tr>
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<tr>
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<td>
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<code>
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original_author
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</code>
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</td>
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<td>
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<code>
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recap.engagement.is_replied_reply_favorited_by_author <br>
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recap.engagement.is_replied_reply_impressed_by_author <br>
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recap.engagement.is_replied_reply_replied_by_author <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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</code>
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</td>
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<td>
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<code>
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50.days.count
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</code>
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</td>
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</tr>
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</table>
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</details>
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<details>
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<summary><b><code>author-topic_aggregate</code></b></summary>
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These features aggregate over a specific tweet author and a specific topic. We only accumulate long (50 day) counts.
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<br>
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<table>
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<tr>
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<td>
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<code>
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author-topic
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</code>
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</td>
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<td>
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<code>
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any_label <br>
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recap.engagement.is_clicked <br>
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recap.engagement.is_favorited <br>
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recap.engagement.is_open_linked <br>
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recap.engagement.is_photo_expanded <br>
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recap.engagement.is_profile_clicked <br>
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recap.engagement.is_replied <br>
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recap.engagement.is_retweeted <br>
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recap.engagement.is_video_playback_50 <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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</code>
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</td>
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<td>
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<code>
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50.days.count
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</code>
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</td>
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</tr>
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</table>
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</details>
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<details>
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<summary><b><code>list_aggregate</code></b></summary>
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These features aggregate short term and long term engagement between a user and a list.
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<br>
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<table>
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<tr>
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<td>
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<code>
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user_list
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</code>
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</td>
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<td>
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<code>
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any_label <br>
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recap.engagement.is_clicked <br>
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recap.engagement.is_favorited <br>
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recap.engagement.is_open_linked <br>
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recap.engagement.is_photo_expanded <br>
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recap.engagement.is_profile_clicked <br>
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recap.engagement.is_replied <br>
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recap.engagement.is_retweeted <br>
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recap.engagement.is_video_playback_50 <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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</code>
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</td>
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<td>
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<code>
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50.days.count
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</code>
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</td>
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</tr>
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<tr>
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<td>
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<code>
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list (real_time)
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</code>
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</td>
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<td>
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<code>
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timelines.engagement.is_block_clicked <br>
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timelines.engagement.is_dont_like <br>
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timelines.engagement.is_dwelled <br>
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timelines.engagement.is_favorited <br>
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timelines.engagement.is_mute_clicked <br>
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timelines.engagement.is_replied <br>
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timelines.engagement.is_report_tweet_clicked <br>
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timelines.engagement.is_retweeted <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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</code>
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</td>
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<td>
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<code>
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30.minutes.count
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</code>
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</td>
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</tr>
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</table>
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</details>
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<details>
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<summary><b><code>user_aggregate</code></b></summary>
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These features aggregate short term and long term engagement from a specific user.
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<br>
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<table>
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<tr>
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<td>
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<code>
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user_v2
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</code>
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</td>
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<td>
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<code>
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any_label <br>
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recap.engagement.is_favorited <br>
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recap.engagement.is_photo_expanded <br>
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recap.engagement.is_profile_clicked <br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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engagement_features.in_network.favorites.count <br>
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engagement_features.in_network.replies.count <br>
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engagement_features.in_network.retweets.count <br>
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realgraph.num_favorites.days_since_last <br>
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realgraph.num_favorites.elapsed_days <br>
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realgraph.num_favorites.ewma <br>
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realgraph.num_favorites.non_zero_days <br>
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realgraph.num_inspected_tweets.days_since_last <br>
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realgraph.num_inspected_tweets.elapsed_days <br>
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realgraph.num_inspected_tweets.ewma <br>
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realgraph.num_inspected_tweets.non_zero_days <br>
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realgraph.num_mentions.days_since_last <br>
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realgraph.num_mentions.elapsed_days <br>
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realgraph.num_mentions.ewma <br>
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realgraph.num_mentions.non_zero_days <br>
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realgraph.num_profile_views.days_since_last <br>
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realgraph.num_profile_views.elapsed_days <br>
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realgraph.num_profile_views.ewma <br>
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realgraph.num_profile_views.non_zero_days <br>
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realgraph.num_retweets.days_since_last <br>
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realgraph.num_retweets.elapsed_days <br>
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realgraph.num_retweets.ewma <br>
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realgraph.num_retweets.non_zero_days <br>
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realgraph.num_tweet_clicks.days_since_last <br>
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realgraph.num_tweet_clicks.elapsed_days <br>
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realgraph.num_tweet_clicks.ewma <br>
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realgraph.num_tweet_clicks.non_zero_days <br>
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realgraph.total_dwell_time.days_since_last <br>
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realgraph.total_dwell_time.elapsed_days <br>
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realgraph.total_dwell_time.ewma <br>
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realgraph.total_dwell_time.non_zero_days <br>
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recap.earlybird.fav_count_v2 <br>
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recap.earlybird.reply_count_v2 <br>
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recap.earlybird.retweet_count_v2 <br>
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recap.searchfeature.blender_score <br>
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recap.searchfeature.fav_count <br>
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recap.searchfeature.reply_count <br>
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recap.searchfeature.retweet_count <br>
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recap.searchfeature.text_score <br>
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recap.tweetfeature.bidirectional_fav_count <br>
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recap.tweetfeature.bidirectional_reply_count <br>
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recap.tweetfeature.bidirectional_retweet_count <br>
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recap.tweetfeature.contains_media <br>
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recap.tweetfeature.conversational_count <br>
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recap.tweetfeature.embeds_impression_count <br>
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recap.tweetfeature.embeds_url_count <br>
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recap.tweetfeature.from_mutual_follow <br>
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recap.tweetfeature.has_card <br>
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recap.tweetfeature.has_image <br>
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recap.tweetfeature.has_link <br>
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recap.tweetfeature.has_multiple_media <br>
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recap.tweetfeature.has_news <br>
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recap.tweetfeature.has_periscope <br>
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recap.tweetfeature.has_pro_video <br>
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recap.tweetfeature.has_trend <br>
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recap.tweetfeature.has_video <br>
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recap.tweetfeature.has_vine <br>
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recap.tweetfeature.has_visible_link <br>
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recap.tweetfeature.is_business_score <br>
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recap.tweetfeature.is_extended_reply <br>
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recap.tweetfeature.is_reply <br>
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recap.tweetfeature.is_retweet <br>
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recap.tweetfeature.is_sensitive <br>
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recap.tweetfeature.link_count <br>
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recap.tweetfeature.link_language <br>
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recap.tweetfeature.match_searcher_langs <br>
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recap.tweetfeature.match_searcher_main_lang <br>
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recap.tweetfeature.match_ui_lang <br>
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recap.tweetfeature.mention_searcher <br>
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recap.tweetfeature.num_hashtags <br>
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recap.tweetfeature.num_mentions <br>
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recap.tweetfeature.reply_other <br>
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recap.tweetfeature.reply_searcher <br>
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recap.tweetfeature.retweet_other <br>
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recap.tweetfeature.retweet_searcher <br>
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recap.tweetfeature.tweet_count_from_user_in_snapshot <br>
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recap.tweetfeature.unidirectiona_fav_count <br>
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recap.tweetfeature.unidirectional_reply_count <br>
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recap.tweetfeature.unidirectional_retweet_count <br>
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recap.tweetfeature.user_rep <br>
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recap.tweetfeature.video_view_count <br>
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</code>
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</td>
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<td>
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<code>
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50.days.count<br>
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50.days.sum<br>
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</code>
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</td>
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</tr>
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<tr>
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<td>
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<code>
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user_v5
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</code>
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</td>
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<td>
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<code>
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any_label <br>
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recap.engagement.is_clicked<br>
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recap.engagement.is_favorited<br>
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recap.engagement.is_open_linked<br>
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recap.engagement.is_photo_expanded<br>
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recap.engagement.is_profile_clicked<br>
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recap.engagement.is_replied<br>
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recap.engagement.is_retweeted<br>
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recap.engagement.is_video_playback_50<br>
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</code>
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</td>
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<td>
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<code>
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any_feature <br>
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time_features.earlybird.last_favorite_since_creation_hrs<br>
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time_features.earlybird.last_quote_since_creation_hrs<br>
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time_features.earlybird.last_reply_since_creation_hrs<br>
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time_features.earlybird.last_retweet_since_creation_hrs<br>
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time_features.earlybird.time_since_last_favorite<br>
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time_features.earlybird.time_since_last_quote<br>
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time_features.earlybird.time_since_last_reply<br>
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time_features.earlybird.time_since_last_retweet<br>
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timelines.earlybird.decayed_favorite_count<br>
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timelines.earlybird.decayed_quote_count<br>
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timelines.earlybird.decayed_reply_count<br>
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timelines.earlybird.decayed_retweet_count<br>
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timelines.earlybird.embeds_impression_count_v2<br>
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timelines.earlybird.embeds_url_count_v2<br>
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timelines.earlybird.fake_favorite_count<br>
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timelines.earlybird.fake_quote_count<br>
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timelines.earlybird.fake_reply_count<br>
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|
timelines.earlybird.fake_retweet_count<br>
|
|
timelines.earlybird.quote_count<br>
|
|
timelines.earlybird.visible_token_ratio<br>
|
|
timelines.earlybird.weighted_fav_count<br>
|
|
timelines.earlybird.weighted_quote_count<br>
|
|
timelines.earlybird.weighted_reply_count<br>
|
|
timelines.earlybird.weighted_retweet_count<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count<br>
|
|
50.days.sum<br>
|
|
50.days.sumsq<br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_v6
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
recap.engagement.is_replied_reply_favorited_by_author<br>
|
|
recap.engagement.is_replied_reply_impressed_by_author<br>
|
|
recap.engagement.is_replied_reply_replied_by_author<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user (twitter_wide)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label<br>
|
|
recap.engagement.is_favorited<br>
|
|
recap.engagement.is_replied<br>
|
|
recap.engagement.is_retweeted<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
recap.tweetfeature.contains_media<br>
|
|
recap.tweetfeature.has_card<br>
|
|
recap.tweetfeature.has_hashtag<br>
|
|
recap.tweetfeature.has_link<br>
|
|
recap.tweetfeature.has_mention<br>
|
|
recap.tweetfeature.is_reply<br>
|
|
timelines.earlybird.has_quote<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user (real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.enagagement.is_retweeted_without_quote<br>
|
|
timelines.engagement.is_clicked<br>
|
|
timelines.engagement.is_dont_like<br>
|
|
timelines.engagement.is_dwelled<br>
|
|
timelines.engagement.is_favorited<br>
|
|
timelines.engagement.is_followed<br>
|
|
timelines.engagement.is_open_linked<br>
|
|
timelines.engagement.is_photo_expanded<br>
|
|
timelines.engagement.is_profile_clicked<br>
|
|
timelines.engagement.is_quoted<br>
|
|
timelines.engagement.is_replied<br>
|
|
timelines.engagement.is_retweeted<br>
|
|
timelines.engagement.is_tweet_share_dm_clicked<br>
|
|
timelines.engagement.is_tweet_share_dm_sent<br>
|
|
timelines.engagement.is_video_playback_50<br>
|
|
timelines.engagement.is_video_quality_viewed<br>
|
|
timelines.engagement.is_video_viewed<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
client_log_event.tweet.has_consumer_video<br>
|
|
client_log_event.tweet.photo_count<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
30.minutes.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user (48h_real_time_v5)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.enagagement.is_retweeted_without_quote<br>
|
|
timelines.engagement.is_clicked<br>
|
|
timelines.engagement.is_dont_like<br>
|
|
timelines.engagement.is_dwelled<br>
|
|
timelines.engagement.is_favorited<br>
|
|
timelines.engagement.is_followed<br>
|
|
timelines.engagement.is_open_linked<br>
|
|
timelines.engagement.is_photo_expanded<br>
|
|
timelines.engagement.is_profile_clicked<br>
|
|
timelines.engagement.is_quoted<br>
|
|
timelines.engagement.is_replied<br>
|
|
timelines.engagement.is_retweeted<br>
|
|
timelines.engagement.is_tweet_share_dm_clicked<br>
|
|
timelines.engagement.is_tweet_share_dm_sent<br>
|
|
timelines.engagement.is_video_playback_50<br>
|
|
timelines.engagement.is_video_quality_viewed<br>
|
|
timelines.engagement.is_video_viewed<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
client_log_event.tweet.has_consumer_video<br>
|
|
client_log_event.tweet.photo_count<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
2.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user (72h_real_time_v6)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_block_clicked<br>
|
|
timelines.engagement.is_dont_like<br>
|
|
timelines.engagement.is_mute_clicked<br>
|
|
timelines.engagement.is_report_tweet_clicked<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.author.user_state.is_user_heavy_non_tweeter<br>
|
|
timelines.author.user_state.is_user_heavy_tweeter<br>
|
|
timelines.author.user_state.is_user_light<br>
|
|
timelines.author.user_state.is_user_medium_non_tweeter<br>
|
|
timelines.author.user_state.is_user_medium_tweeter<br>
|
|
timelines.author.user_state.is_user_new<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
3.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user (profile_real_time_v6)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
profile.engagement.is_clicked<br>
|
|
profile.engagement.is_dwelled<br>
|
|
profile.engagement.is_favorited<br>
|
|
profile.engagement.is_replied<br>
|
|
profile.engagement.is_retweeted<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
client_log_event.tweet.has_consumer_video<br>
|
|
client_log_event.tweet.photo_count<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
30.minutes.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user (real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_share_menu_clicked<br>
|
|
timelines.engagement.is_shared <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
client_log_event.tweet.has_consumer_video<br>
|
|
client_log_event.tweet.photo_count<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
1.days.count<br>
|
|
30.minutes.count<br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user (real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_fullscreen_video_dwelled<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_10_sec<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_20_sec<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_30_sec<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_5_sec<br>
|
|
timelines.engagement.is_profile_dwelled<br>
|
|
timelines.engagement.is_profile_dwelled_10_sec<br>
|
|
timelines.engagement.is_profile_dwelled_20_sec<br>
|
|
timelines.engagement.is_profile_dwelled_30_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_15_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_25_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_30_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_8_sec<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
1.days.count<br>
|
|
30.minutes.count<br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
</table>
|
|
</details>
|
|
|
|
<details>
|
|
<summary><b><code>user_author_aggregate</code></b></summary>
|
|
These features aggregate over user-author pairs.
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_author_v2
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label<br>
|
|
recap.engagement.is_clicked<br>
|
|
recap.engagement.is_favorited<br>
|
|
recap.engagement.is_open_linked<br>
|
|
recap.engagement.is_photo_expanded<br>
|
|
recap.engagement.is_profile_clicked<br>
|
|
recap.engagement.is_replied<br>
|
|
recap.engagement.is_retweeted<br>
|
|
recap.engagement.is_video_playback_50<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
engagement_features.in_network.favorites.count<br>
|
|
engagement_features.in_network.replies.count<br>
|
|
engagement_features.in_network.retweets.count<br>
|
|
recap.earlybird.fav_count_v2<br>
|
|
recap.earlybird.reply_count_v2<br>
|
|
recap.earlybird.retweet_count_v2<br>
|
|
recap.searchfeature.blender_score<br>
|
|
recap.searchfeature.fav_count<br>
|
|
recap.searchfeature.reply_count<br>
|
|
recap.searchfeature.retweet_count<br>
|
|
recap.searchfeature.text_score<br>
|
|
recap.tweetfeature.embeds_impression_count<br>
|
|
recap.tweetfeature.embeds_url_count<br>
|
|
recap.tweetfeature.has_card<br>
|
|
recap.tweetfeature.has_image<br>
|
|
recap.tweetfeature.has_link<br>
|
|
recap.tweetfeature.has_multiple_media<br>
|
|
recap.tweetfeature.has_news<br>
|
|
recap.tweetfeature.has_periscope<br>
|
|
recap.tweetfeature.has_pro_video<br>
|
|
recap.tweetfeature.has_trend<br>
|
|
recap.tweetfeature.has_video<br>
|
|
recap.tweetfeature.has_vine<br>
|
|
recap.tweetfeature.has_visible_link<br>
|
|
recap.tweetfeature.is_reply<br>
|
|
recap.tweetfeature.is_retweet<br>
|
|
recap.tweetfeature.num_mentions<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count<br>
|
|
50.days.sum<br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_author_v5
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label<br>
|
|
recap.engagement.is_clicked<br>
|
|
recap.engagement.is_favorited<br>
|
|
recap.engagement.is_open_linked<br>
|
|
recap.engagement.is_photo_expanded<br>
|
|
recap.engagement.is_profile_clicked<br>
|
|
recap.engagement.is_replied<br>
|
|
recap.engagement.is_retweeted<br>
|
|
recap.engagement.is_video_playback_50<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature<br>
|
|
timelines.earlybird.has_quote<br>
|
|
timelines.earlybird.label_abusive_flag<br>
|
|
timelines.earlybird.label_abusive_hi_rcl_flag<br>
|
|
timelines.earlybird.label_dup_content_flag<br>
|
|
timelines.earlybird.label_nsfw_hi_prc_flag<br>
|
|
timelines.earlybird.label_nsfw_hi_rcl_flag<br>
|
|
timelines.earlybird.label_spam_flag<br>
|
|
timelines.earlybird.label_spam_hi_rcl_flag<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_author (tweetsource_v1 - <br>
|
|
These features are sourced from a different underlying dataset)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label<br>
|
|
recap.engagement.is_clicked<br>
|
|
recap.engagement.is_favorited<br>
|
|
recap.engagement.is_open_linked<br>
|
|
recap.engagement.is_photo_expanded<br>
|
|
recap.engagement.is_profile_clicked<br>
|
|
recap.engagement.is_replied<br>
|
|
recap.engagement.is_retweeted<br>
|
|
recap.engagement.is_video_playback_50<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature<br>
|
|
tweetsource.tweet.media.num_tags<br>
|
|
tweetsource.tweet.media.video_duration<br>
|
|
tweetsource.tweet.text.has_question<br>
|
|
tweetsource.tweet.text.length<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count<br>
|
|
50.days.sum<br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_author (twitter_wide - <br>
|
|
These features are sourced from a different underlying dataset)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
recap.engagement.is_favorited<br>
|
|
recap.engagement.is_replied<br>
|
|
recap.engagement.is_retweeted<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
recap.tweetfeature.contains_media<br>
|
|
recap.tweetfeature.has_card<br>
|
|
recap.tweetfeature.has_hashtag<br>
|
|
recap.tweetfeature.has_link<br>
|
|
recap.tweetfeature.has_mention<br>
|
|
recap.tweetfeature.is_reply<br>
|
|
timelines.earlybird.has_quote<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count<br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_original_author (real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_shared<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
1.days.count<br>
|
|
30.minutes.count<br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_original_author
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
recap.engagement.is_replied_reply_favorited_by_author<br>
|
|
recap.engagement.is_replied_reply_impressed_by_author<br>
|
|
recap.engagement.is_replied_reply_replied_by_author<br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_author (real_time, shared)
|
|
</code>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_clicked<br>
|
|
timelines.engagement.is_dwelled<br>
|
|
timelines.engagement.is_favorited<br>
|
|
timelines.engagement.is_negative_feedback_union<br>
|
|
timelines.engagement.is_photo_expanded<br>
|
|
timelines.engagement.is_profile_clicked<br>
|
|
timelines.engagement.is_replied<br>
|
|
timelines.engagement.is_retweeted<br>
|
|
timelines.engagement.is_share_menu_clicked<br>
|
|
timelines.engagement.is_video_playback_50
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
1.days.count<br>
|
|
30.minutes.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
|
|
<details>
|
|
<summary><b><code>user_engager_aggregate</code></b></summary>
|
|
These features aggregate counts of user interaction with other engagers of tweets that the user interacts with.
|
|
|
|
For example, the <code>user_engager.recap.engagement.is_favorited.any_feature.50.days.count.sparse_top1</code> feature can be parsed as follows:
|
|
|
|
For all tweets that a user Likes, accumulate a running count over 50 days where the number of engagement events for every other user who has engaged with the Tweet is accumulated. Engagement is defined as Like or reply. We now have a list of engagement counts for other users that have engaged with the Tweets that the user has Liked, and we take the top count as the feature value.
|
|
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_engager <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label <br>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count.sparse_mean <br>
|
|
50.days.count.sparse_nonzero <br>
|
|
50.days.count.sparse_sum <br>
|
|
50.days.count.sparse_top1 <br>
|
|
50.days.count.sparse_top2 <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
<details>
|
|
<summary><b><code>user_inferred_topic_aggregate</code></b></summary>
|
|
These features aggregate short term and long term engagement between a user and tweets from our internally predicted inferred topic (whether or not the tweet is actually tagged to that topic).
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_inferred_topic_v1
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label <br>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count.sparse_mean <br>
|
|
50.days.count.sparse_nonzero <br>
|
|
50.days.count.sparse_sum <br>
|
|
50.days.count.sparse_top1 <br>
|
|
50.days.count.sparse_top2 <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_inferred_topic_v2
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
engagement_features.in_network.favorites.count <br>
|
|
engagement_features.in_network.retweets.count <br>
|
|
recap.searchfeature.fav_count <br>
|
|
recap.tweetfeature.contains_media <br>
|
|
recap.tweetfeature.has_card <br>
|
|
recap.tweetfeature.has_image <br>
|
|
recap.tweetfeature.has_link <br>
|
|
recap.tweetfeature.has_news <br>
|
|
recap.tweetfeature.has_trend <br>
|
|
recap.tweetfeature.has_video <br>
|
|
recap.tweetfeature.is_reply <br>
|
|
recap.tweetfeature.is_retweet <br>
|
|
recap.tweetfeature.is_sensitive <br>
|
|
recap.tweetfeature.match_searcher_langs <br>
|
|
recap.tweetfeature.match_searcher_main_lang <br>
|
|
recap.tweetfeature.match_ui_lang <br>
|
|
recap.tweetfeature.mention_searcher <br>
|
|
recap.tweetfeature.reply_other <br>
|
|
recap.tweetfeature.reply_searcher <br>
|
|
recap.tweetfeature.retweet_other <br>
|
|
recap.tweetfeature.retweet_searcher <br>
|
|
tweetsource.tweet.media.aspect_ratio_den <br>
|
|
tweetsource.tweet.text.num_caps <br>
|
|
tweetsource.tweet.text.num_newlines <br>
|
|
tweetsource.v2.tweet.media.has_description <br>
|
|
tweetsource.v2.tweet.media.has_selected_preview_image <br>
|
|
tweetsource.v2.tweet.media.has_title <br>
|
|
tweetsource.v2.tweet.media.has_visit_site_call_to_action <br>
|
|
tweetsource.v2.tweet.media.has_watch_now_call_to_action <br>
|
|
tweetsource.v2.tweet.media.is_360 <br>
|
|
tweetsource.v2.tweet.media.is_managed <br>
|
|
tweetsource.v2.tweet.media.is_monetizable <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count.sparse_mean <br>
|
|
50.days.count.sparse_nonzero <br>
|
|
50.days.count.sparse_sum <br>
|
|
50.days.count.sparse_top1 <br>
|
|
50.days.count.sparse_top2 <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
<details>
|
|
<summary><b><code>user_media_annotation_aggregate</code></b></summary>
|
|
These features aggregate how often a user interacts with different types of media (photo, video, etc)
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_media_annotation
|
|
(keyed by user and media type)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label <br>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count.sparse_mean <br>
|
|
50.days.count.sparse_nonzero <br>
|
|
50.days.count.sparse_sum <br>
|
|
50.days.count.sparse_top1 <br>
|
|
50.days.count.sparse_top2 <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
<details>
|
|
<summary><b><code>user_mention_aggregate</code></b></summary>
|
|
These features aggregate counts of user interactions with Tweets that mention other users.
|
|
|
|
Let the original user who viewed a Tweet be <code>user1</code>, and let <code>user2, user3, ..., user_n</code> be users mentioned in a tweet. This feature group aggregates the interactions between <code>user1</code> and other Tweets that mention <code>user2, user3,..., user_n</code>.
|
|
|
|
Here <code>sparse_sum</code> means we sum the aggregate values over all mentioned users, <code>sparse_top1</code> means we take the max of the aggregate values for the mentioned authors, <code>sparse_top1</code> means we take the second-highest of the aggregate values for the mentioned authors, and so on.
|
|
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_mention <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label <br>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 any_feature.50.days.count <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count.sparse_mean <br>
|
|
50.days.count.sparse_nonzero <br>
|
|
50.days.count.sparse_sum <br>
|
|
50.days.count.sparse_top1 <br>
|
|
50.days.count.sparse_top2 <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
<details>
|
|
<summary><b><code>user_request_context_aggregate</code></b></summary>
|
|
These features aggregate engagements over the request context, which is either the same day of week (dow) or hour of day (hour), to account for temporal effects.
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
dow <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
hour <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
<details>
|
|
<summary><b><code>user_topic_aggregate</code></b></summary>
|
|
These features aggregate long term feature values between a user and tweets from a particular topic.
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_topic_v1
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_label <br>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_topic_v2
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
recap.engagement.is_clicked <br>
|
|
recap.engagement.is_favorited <br>
|
|
recap.engagement.is_open_linked <br>
|
|
recap.engagement.is_photo_expanded <br>
|
|
recap.engagement.is_profile_clicked <br>
|
|
recap.engagement.is_replied <br>
|
|
recap.engagement.is_retweeted <br>
|
|
recap.engagement.is_video_playback_50 <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
engagement_features.in_network.favorites.count <br>
|
|
engagement_features.in_network.retweets.count <br>
|
|
recap.searchfeature.fav_count <br>
|
|
recap.tweetfeature.contains_media <br>
|
|
recap.tweetfeature.has_card <br>
|
|
recap.tweetfeature.has_image <br>
|
|
recap.tweetfeature.has_link <br>
|
|
recap.tweetfeature.has_news <br>
|
|
recap.tweetfeature.has_trend <br>
|
|
recap.tweetfeature.has_video <br>
|
|
recap.tweetfeature.is_reply <br>
|
|
recap.tweetfeature.is_retweet <br>
|
|
recap.tweetfeature.is_sensitive <br>
|
|
recap.tweetfeature.match_searcher_langs <br>
|
|
recap.tweetfeature.match_searcher_main_lang <br>
|
|
recap.tweetfeature.match_ui_lang <br>
|
|
recap.tweetfeature.mention_searcher <br>
|
|
recap.tweetfeature.reply_other <br>
|
|
recap.tweetfeature.reply_searcher <br>
|
|
recap.tweetfeature.retweet_other <br>
|
|
recap.tweetfeature.retweet_searcher <br>
|
|
tweetsource.tweet.media.aspect_ratio_den <br>
|
|
tweetsource.tweet.text.num_caps <br>
|
|
tweetsource.tweet.text.num_newlines <br>
|
|
tweetsource.v2.tweet.media.has_description <br>
|
|
tweetsource.v2.tweet.media.has_selected_preview_image <br>
|
|
tweetsource.v2.tweet.media.has_title <br>
|
|
tweetsource.v2.tweet.media.has_visit_site_call_to_action <br>
|
|
tweetsource.v2.tweet.media.has_watch_now_call_to_action <br>
|
|
tweetsource.v2.tweet.media.is_360 <br>
|
|
tweetsource.v2.tweet.media.is_managed <br>
|
|
tweetsource.v2.tweet.media.is_monetizable <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
50.days.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
<details>
|
|
<summary><b><code>topic_aggregate</code></b></summary>
|
|
These features aggregate values for tweets that come from a particular topic.
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
topic (real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.enagagement.is_retweeted_without_quote <br>
|
|
timelines.engagement.is_clicked <br>
|
|
timelines.engagement.is_dont_like <br>
|
|
timelines.engagement.is_dwelled <br>
|
|
timelines.engagement.is_favorited <br>
|
|
timelines.engagement.is_followed <br>
|
|
timelines.engagement.is_not_interested_in_topic <br>
|
|
timelines.engagement.is_open_linked <br>
|
|
timelines.engagement.is_photo_expanded <br>
|
|
timelines.engagement.is_profile_clicked <br>
|
|
timelines.engagement.is_quoted <br>
|
|
timelines.engagement.is_replied <br>
|
|
timelines.engagement.is_retweeted <br>
|
|
timelines.engagement.is_tweet_share_dm_clicked <br>
|
|
timelines.engagement.is_tweet_share_dm_sent <br>
|
|
timelines.engagement.is_video_playback_50 <br>
|
|
timelines.engagement.is_video_quality_viewed <br>
|
|
timelines.engagement.is_video_viewed <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
30.minutes.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
topic (24_hour_real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>timelines.enagagement.is_retweeted_without_quote<br>
|
|
timelines.engagement.is_block_clicked<br>
|
|
timelines.engagement.is_clicked<br>
|
|
timelines.engagement.is_dont_like<br>
|
|
timelines.engagement.is_dwelled<br>
|
|
timelines.engagement.is_favorited<br>
|
|
timelines.engagement.is_followed<br>
|
|
timelines.engagement.is_mute_clicked<br>
|
|
timelines.engagement.is_not_about_topic<br>
|
|
timelines.engagement.is_not_interested_in_topic<br>
|
|
timelines.engagement.is_not_recent<br>
|
|
timelines.engagement.is_not_relevant<br>
|
|
timelines.engagement.is_open_linked<br>
|
|
timelines.engagement.is_photo_expanded<br>
|
|
timelines.engagement.is_profile_clicked<br>
|
|
timelines.engagement.is_quoted<br>
|
|
timelines.engagement.is_replied<br>
|
|
timelines.engagement.is_report_tweet_clicked<br>
|
|
timelines.engagement.is_retweeted<br>
|
|
timelines.engagement.is_see_fewer<br>
|
|
timelines.engagement.is_tweet_share_dm_clicked<br>
|
|
timelines.engagement.is_tweet_share_dm_sent<br>
|
|
timelines.engagement.is_unfollow_topic<br>
|
|
timelines.engagement.is_video_playback_50<br>
|
|
timelines.engagement.is_video_quality_viewed<br>
|
|
timelines.engagement.is_video_viewed
|
|
</code></td>
|
|
<td><code>any_feature</code></td>
|
|
<td><code>1.days.count</code></td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
topic-country_code (real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_block_clicked<br>
|
|
timelines.engagement.is_clicked<br>
|
|
timelines.engagement.is_dont_like<br>
|
|
timelines.engagement.is_dwelled<br>
|
|
timelines.engagement.is_favorited<br>
|
|
timelines.engagement.is_impressed<br>
|
|
timelines.engagement.is_mute_clicked<br>
|
|
timelines.engagement.is_not_about_topic<br>
|
|
timelines.engagement.is_not_interested_in_topic<br>
|
|
timelines.engagement.is_not_recent<br>
|
|
timelines.engagement.is_not_relevant<br>
|
|
timelines.engagement.is_open_linked<br>
|
|
timelines.engagement.is_photo_expanded<br>
|
|
timelines.engagement.is_profile_clicked<br>
|
|
timelines.engagement.is_replied<br>
|
|
timelines.engagement.is_report_tweet_clicked<br>
|
|
timelines.engagement.is_retweeted<br>
|
|
timelines.engagement.is_see_fewer<br>
|
|
timelines.engagement.is_share_menu_clicked<br>
|
|
timelines.engagement.is_shared<br>
|
|
timelines.engagement.is_unfollow_topic<br>
|
|
timelines.engagement.is_video_playback_50<br>
|
|
timelines.engagement.is_video_quality_viewed
|
|
</code>
|
|
</td>
|
|
<td><code>any_feature</code></td>
|
|
<td><code>3.days.count<br>30.minutes.count</code></td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
topic-share (real_time)
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_share_menu_clicked<br>
|
|
timelines.engagement.is_shared
|
|
</code>
|
|
</td>
|
|
<td><code>any_feature</code></td>
|
|
<td><code>1.days.count<br>30.minutes.count</code></td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
<details>
|
|
<summary><b><code>tweet_aggregate</code></b></summary>
|
|
These features aggregate values corresponding to a tweet.
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td><code>tweet (real_time)</code></td>
|
|
<td><code>
|
|
timelines.enagagement.is_retweeted_without_quote<br>
|
|
timelines.engagement.is_clicked<br>
|
|
timelines.engagement.is_dont_like<br>
|
|
timelines.engagement.is_dwelled<br>
|
|
timelines.engagement.is_favorited<br>
|
|
timelines.engagement.is_followed<br>
|
|
timelines.engagement.is_open_linked<br>
|
|
timelines.engagement.is_photo_expanded<br>
|
|
timelines.engagement.is_profile_clicked<br>
|
|
timelines.engagement.is_quoted<br>
|
|
timelines.engagement.is_replied<br>
|
|
timelines.engagement.is_retweeted<br>
|
|
timelines.engagement.is_tweet_share_dm_clicked<br>
|
|
timelines.engagement.is_tweet_share_dm_sent<br>
|
|
timelines.engagement.is_video_playback_50<br>
|
|
timelines.engagement.is_video_quality_viewed<br>
|
|
timelines.engagement.is_video_viewed
|
|
</code>
|
|
</td>
|
|
<td><code>any_feature</code></td>
|
|
<td>
|
|
<code>
|
|
30.minutes.count<br>
|
|
Duration.Top.count
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td><code>tweet_v2 (real_time)</code></td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_block_clicked <br>
|
|
timelines.engagement.is_mute_clicked <br>
|
|
timelines.engagement.is_report_tweet_clicked <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
any_feature <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
30.minutes.count <br>
|
|
Duration.Top.count <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td><code>tweet (real_time dwell) </code></td>
|
|
<td><code>timelines.engagement.is_fullscreen_video_dwelled<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_10_sec<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_20_sec<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_30_sec<br>
|
|
timelines.engagement.is_fullscreen_video_dwelled_5_sec<br>
|
|
timelines.engagement.is_profile_dwelled<br>
|
|
timelines.engagement.is_profile_dwelled_10_sec<br>
|
|
timelines.engagement.is_profile_dwelled_20_sec<br>
|
|
timelines.engagement.is_profile_dwelled_30_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_15_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_25_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_30_sec<br>
|
|
timelines.engagement.is_tweet_detail_dwelled_8_sec</code></td>
|
|
<td>
|
|
<code>any_feature
|
|
</code>
|
|
</td>
|
|
<td><code>1.days.count<br>30.minutes.count</code></td>
|
|
</tr>
|
|
<tr>
|
|
<td><code>tweet (real_time shared) </code></td>
|
|
<td>
|
|
<code>
|
|
timelines.engagement.is_share_menu_clicked<br>
|
|
timelines.engagement.is_shared
|
|
</code>
|
|
</td>
|
|
<td><code>any_feature</code></td>
|
|
<td><code>1.days.count<br>30.minutes.count</code></td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
## Non Aggregate Features
|
|
We have a number of standalone features capturing information about the user, the tweet, the author, and the tweet context.
|
|
|
|
<details>
|
|
<summary><b><code>two_hop</code></b></summary>
|
|
<br>
|
|
This feature group contains features about interactions which are "two-hop" between a user and the tweet author. Examples of two-top interactions are: If user 1</code> favorites a tweet by user 2, and user 2 favorites a tweet by user 3, there will be a positive value for the "favorite.favorited_by" two-hop feature between user 1 and user 3.
|
|
|
|
The feature group consists of all possible crosses of the below features.
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
two_hop
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
favorite <br>
|
|
following <br>
|
|
mutual_follow <br>
|
|
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
favorited_by <br>
|
|
followed_by <br>
|
|
mentioned_by <br>
|
|
retweeted_by <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
normalized
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
two_hop
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
favorited_by <br>
|
|
favorited_by <br>
|
|
mentioned_by <br>
|
|
retweeted_by
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
right_degree
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
<details>
|
|
|
|
<summary><b><code>realgraph</code></b></summary>
|
|
<br>
|
|
This feature group contains features about interactions between the user and the Tweet author.
|
|
|
|
The feature group consists of all possible crosses of the below features.
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
realgraph
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
dst_id <br>
|
|
src_id <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
</code>
|
|
</td>
|
|
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
realgraph
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
num_address_book_email <br>
|
|
num_address_book_in_both <br>
|
|
num_address_book_mutual_edge_email <br>
|
|
num_address_book_mutual_edge_in_both <br>
|
|
num_address_book_mutual_edge_phone <br>
|
|
num_address_book_phone<br>
|
|
num_blocks<br>
|
|
num_direct_messages<br>
|
|
num_favorites<br>
|
|
num_follow<br>
|
|
num_inspected_tweets<br>
|
|
num_link_clicks<br>
|
|
num_mentions<br>
|
|
num_mutes<br>
|
|
num_mutual_follow<br>
|
|
num_photo_tags<br>
|
|
num_profile_views<br>
|
|
num_report_as_abuses<br>
|
|
num_report_as_spams<br>
|
|
num_retweets<br>
|
|
num_sms_follow<br>
|
|
num_tweet_clicks<br>
|
|
total_dwell_time<br>
|
|
weight
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
days_since_last <br>
|
|
days_since_last.sparse_avg <br>
|
|
days_since_last.sparse_max <br>
|
|
days_since_last.sparse_sum <br>
|
|
elapsed_days <br>
|
|
elapsed_days.sparse_avg <br>
|
|
elapsed_days.sparse_max<br>
|
|
elapsed_days.sparse_sum<br>
|
|
ewma<br>
|
|
ewma.sparse_avg<br>
|
|
ewma.sparse_max<br>
|
|
ewma.sparse_sum<br>
|
|
is_missing<br>
|
|
m2ForVariance.sparse_avg<br>
|
|
m2ForVariance.sparse_max<br>
|
|
m2ForVariance.sparse_sum<br>
|
|
mean<br>
|
|
mean.sparse_avg<br>
|
|
mean.sparse_max<br>
|
|
mean.sparse_sum<br>
|
|
non_zero_days<br>
|
|
non_zero_days.sparse_avg<br>
|
|
non_zero_days.sparse_max<br>
|
|
non_zero_days.sparse_sum<br>
|
|
sparse_avg<br>
|
|
sparse_max<br>
|
|
sparse_sum<br>
|
|
variance
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
|
|
<details>
|
|
<summary><b><code>authors.realgraph</code></b></summary>
|
|
This feature group contains features about interactions between the user and various other users including
|
|
<ol>
|
|
<li> the Tweet author
|
|
<li> any users mentioned in the Tweet
|
|
<li> in-network engagers with the Tweet
|
|
<li> upstream authors if the Tweet was part of a reply chain
|
|
</ol>
|
|
Note that all the above users are included in the interaction set, not just the Tweet author.
|
|
|
|
The feature group consists of all possible crosses of the below features.
|
|
|
|
<br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
authors.realgraph
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
weight
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
sparse_avg <br>
|
|
sparse_max <br>
|
|
sparse_sum <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
authors.realgraph
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
num_address_book_email <br>
|
|
num_address_book_in_both <br>
|
|
num_address_book_mutual_edge_email <br>
|
|
num_address_book_mutual_edge_in_both <br>
|
|
num_address_book_phone <br>
|
|
num_blocks <br>
|
|
num_direct_messages <br>
|
|
num_favorites <br>
|
|
num_follow <br>
|
|
num_inspected_tweets <br>
|
|
num_link_clicks <br>
|
|
num_mentions <br>
|
|
num_mutes <br>
|
|
num_mutual_follow <br>
|
|
num_photo_tags <br>
|
|
num_profile_views <br>
|
|
num_report_as_abuses <br>
|
|
num_report_as_spams <br>
|
|
num_retweets <br>
|
|
num_sms_follow <br>
|
|
num_tweet_clicks <br>
|
|
total_dwell_time <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
days_since_last <br>
|
|
elapsed_days <br>
|
|
ewma <br>
|
|
m2ForVariance <br>
|
|
mean <br>
|
|
non_zero_days <br>
|
|
</code>
|
|
</td>
|
|
<td>
|
|
<code>
|
|
sparse_avg <br>
|
|
sparse_max <br>
|
|
sparse_sum <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
<details>
|
|
<summary><b><code>recap.tweetfeature, recap.searchfeature, etc</code></b></summary>
|
|
<br>
|
|
This feature group contains features about the tweet, whether from the tweets service or the search service ("Earlybird"). It also contains features related to the user's device type.
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
recap.earlybird.fav_count_v2 <br>
|
|
recap.earlybird.reply_count_v2 <br>
|
|
recap.earlybird.retweet_count_v2 <br>
|
|
recap.searchfeature.blender_score <br>
|
|
recap.searchfeature.fav_count <br>
|
|
recap.searchfeature.reply_count <br>
|
|
recap.searchfeature.retweet_count <br>
|
|
recap.searchfeature.text_score <br>
|
|
recap.source.type <br>
|
|
recap.tweetfeature.bidirectional_fav_count <br>
|
|
recap.tweetfeature.bidirectional_reply_count <br>
|
|
recap.tweetfeature.bidirectional_retweet_count <br>
|
|
recap.tweetfeature.contains_media <br>
|
|
recap.tweetfeature.conversational_count <br>
|
|
recap.tweetfeature.embeds_impression_count <br>
|
|
recap.tweetfeature.embeds_url_count <br>
|
|
recap.tweetfeature.from_inactive_user <br>
|
|
recap.tweetfeature.from_mutual_follow <br>
|
|
recap.tweetfeature.from_verified_account <br>
|
|
recap.tweetfeature.has_card <br>
|
|
recap.tweetfeature.has_consumer_video <br>
|
|
recap.tweetfeature.has_hashtag <br>
|
|
recap.tweetfeature.has_image <br>
|
|
recap.tweetfeature.has_link <br>
|
|
recap.tweetfeature.has_mention <br>
|
|
recap.tweetfeature.has_multiple_hashtag_or_trend <br>
|
|
recap.tweetfeature.has_multiple_media <br>
|
|
recap.tweetfeature.has_native_image <br>
|
|
recap.tweetfeature.has_native_video <br>
|
|
recap.tweetfeature.has_news <br>
|
|
recap.tweetfeature.has_periscope <br>
|
|
recap.tweetfeature.has_pro_video <br>
|
|
recap.tweetfeature.has_trend <br>
|
|
recap.tweetfeature.has_video <br>
|
|
recap.tweetfeature.has_vine <br>
|
|
recap.tweetfeature.has_visible_link <br>
|
|
recap.tweetfeature.is_author_bot <br>
|
|
recap.tweetfeature.is_author_new <br>
|
|
recap.tweetfeature.is_author_profile_egg <br>
|
|
recap.tweetfeature.is_author_spam <br>
|
|
recap.tweetfeature.is_business_score <br>
|
|
recap.tweetfeature.is_extended_reply <br>
|
|
recap.tweetfeature.is_offensive <br>
|
|
recap.tweetfeature.is_reply <br>
|
|
recap.tweetfeature.is_retweet <br>
|
|
recap.tweetfeature.is_sensitive <br>
|
|
recap.tweetfeature.language <br>
|
|
recap.tweetfeature.link_count <br>
|
|
recap.tweetfeature.link_language <br>
|
|
recap.tweetfeature.match_searcher_langs <br>
|
|
recap.tweetfeature.match_searcher_main_lang <br>
|
|
recap.tweetfeature.match_ui_lang <br>
|
|
recap.tweetfeature.mention_searcher <br>
|
|
recap.tweetfeature.num_hashtags <br>
|
|
recap.tweetfeature.num_mentions <br>
|
|
recap.tweetfeature.prev_user_tweet_enagagement <br>
|
|
recap.tweetfeature.reply_other <br>
|
|
recap.tweetfeature.reply_searcher <br>
|
|
recap.tweetfeature.retweet_other <br>
|
|
recap.tweetfeature.retweet_searcher <br>
|
|
recap.tweetfeature.signature <br>
|
|
recap.tweetfeature.tweet_count_from_user_in_snapshot <br>
|
|
recap.tweetfeature.unidirectiona_fav_count <br>
|
|
recap.tweetfeature.unidirectional_reply_count <br>
|
|
recap.tweetfeature.unidirectional_retweet_count <br>
|
|
recap.tweetfeature.user_rep <br>
|
|
recap.tweetfeature.video_view_count <br>
|
|
recap.user_agent.client_name <br>
|
|
recap.user_agent.client_source <br>
|
|
recap.user_agent.client_version <br>
|
|
recap.user_agent.client_version_code <br>
|
|
recap.user_agent.device <br>
|
|
recap.user_agent.manufacturer <br>
|
|
recap.user_agent.network_connection <br>
|
|
recap.user_agent.sdk_version <br>
|
|
recap.v2.tweetfeature.is_retweet_directed_at_user_in_first_degree <br>
|
|
recap.v2.tweetfeature.is_retweet_of_reply <br>
|
|
recap.v2.tweetfeature.is_retweeter_bot <br>
|
|
recap.v2.tweetfeature.is_retweeter_new <br>
|
|
recap.v2.tweetfeature.is_retweeter_nsfw <br>
|
|
recap.v2.tweetfeature.is_retweeter_profile_egg <br>
|
|
recap.v2.tweetfeature.is_retweeter_spam <br>
|
|
recap.v2.tweetfeature.retweet_of_mutual_follow <br>
|
|
recap.v2.tweetfeature.source_author_rep <br>
|
|
recap.v3.tweetfeature.probably_from_follow
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
<details>
|
|
<summary><b><code>tweetsource</code></b></summary>
|
|
<br>
|
|
This feature group contains features about the tweet media as well as conversation-related features about the tweet.
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
<br>
|
|
tweetsource.tweet.media.aspect_ratio_den <br>
|
|
tweetsource.tweet.media.aspect_ratio_num <br>
|
|
tweetsource.tweet.media.bit_rate <br>
|
|
tweetsource.tweet.media.height_1 <br>
|
|
tweetsource.tweet.media.height_2 <br>
|
|
tweetsource.tweet.media.height_3 <br>
|
|
tweetsource.tweet.media.height_4 <br>
|
|
tweetsource.tweet.media.num_tags <br>
|
|
tweetsource.tweet.media.resize_method_1 <br>
|
|
tweetsource.tweet.media.resize_method_2 <br>
|
|
tweetsource.tweet.media.resize_method_3 <br>
|
|
tweetsource.tweet.media.resize_method_4 <br>
|
|
tweetsource.tweet.media.video_duration <br>
|
|
tweetsource.tweet.media.width_1 <br>
|
|
tweetsource.tweet.media.width_2 <br>
|
|
tweetsource.tweet.media.width_3 <br>
|
|
tweetsource.tweet.media.width_4 <br>
|
|
tweetsource.tweet.text.has_question <br>
|
|
tweetsource.tweet.text.length <br>
|
|
tweetsource.tweet.text.length_type <br>
|
|
tweetsource.tweet.text.num_caps <br>
|
|
tweetsource.tweet.text.num_newlines <br>
|
|
tweetsource.tweet.text.num_whitespaces <br>
|
|
tweetsource.v2.tweet.media.color_1_blue <br>
|
|
tweetsource.v2.tweet.media.color_1_green <br>
|
|
tweetsource.v2.tweet.media.color_1_percentage <br>
|
|
tweetsource.v2.tweet.media.color_1_red <br>
|
|
tweetsource.v2.tweet.media.face_areas <br>
|
|
tweetsource.v2.tweet.media.has_app_install_call_to_action <br>
|
|
tweetsource.v2.tweet.media.has_description <br>
|
|
tweetsource.v2.tweet.media.has_selected_preview_image <br>
|
|
tweetsource.v2.tweet.media.has_title <br>
|
|
tweetsource.v2.tweet.media.has_visit_site_call_to_action <br>
|
|
tweetsource.v2.tweet.media.has_watch_now_call_to_action <br>
|
|
tweetsource.v2.tweet.media.is_360 <br>
|
|
tweetsource.v2.tweet.media.is_embeddable <br>
|
|
tweetsource.v2.tweet.media.is_managed <br>
|
|
tweetsource.v2.tweet.media.is_monetizable <br>
|
|
tweetsource.v2.tweet.media.num_color_pallette_items <br>
|
|
tweetsource.v2.tweet.media.num_faces <br>
|
|
tweetsource.v2.tweet.media.num_stickers <br>
|
|
tweetsource.v2.tweet.media.view_count <br>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</code>
|
|
</details>
|
|
|
|
<details>
|
|
<summary><b><code>in_reply_to_tweet</code></b></summary>
|
|
<br>
|
|
If the tweet was a reply, this feature group contains the features of the replied to tweet.
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
in_reply_to_tweet.recap.earlybird.fav_count_v2 <br>
|
|
in_reply_to_tweet.recap.earlybird.reply_count_v2 <br>
|
|
in_reply_to_tweet.recap.earlybird.retweet_count_v2 <br>
|
|
in_reply_to_tweet.recap.searchfeature.fav_count <br>
|
|
in_reply_to_tweet.recap.searchfeature.reply_count <br>
|
|
in_reply_to_tweet.recap.searchfeature.retweet_count <br>
|
|
in_reply_to_tweet.recap.searchfeature.text_score <br>
|
|
in_reply_to_tweet.recap.tweetfeature.bidirectional_fav_count <br>
|
|
in_reply_to_tweet.recap.tweetfeature.bidirectional_reply_count <br>
|
|
in_reply_to_tweet.recap.tweetfeature.bidirectional_retweet_count <br>
|
|
in_reply_to_tweet.recap.tweetfeature.conversational_count <br>
|
|
in_reply_to_tweet.recap.tweetfeature.from_mutual_follow <br>
|
|
in_reply_to_tweet.recap.tweetfeature.from_verified_account <br>
|
|
in_reply_to_tweet.recap.tweetfeature.has_hashtag <br>
|
|
in_reply_to_tweet.recap.tweetfeature.has_image <br>
|
|
in_reply_to_tweet.recap.tweetfeature.has_mention <br>
|
|
in_reply_to_tweet.recap.tweetfeature.has_news <br>
|
|
in_reply_to_tweet.recap.tweetfeature.has_video <br>
|
|
in_reply_to_tweet.recap.tweetfeature.has_visible_link <br>
|
|
in_reply_to_tweet.recap.tweetfeature.is_author_bot <br>
|
|
in_reply_to_tweet.recap.tweetfeature.is_author_new <br>
|
|
in_reply_to_tweet.recap.tweetfeature.is_author_nsfw <br>
|
|
in_reply_to_tweet.recap.tweetfeature.is_author_spam <br>
|
|
in_reply_to_tweet.recap.tweetfeature.is_offensive <br>
|
|
in_reply_to_tweet.recap.tweetfeature.is_reply <br>
|
|
in_reply_to_tweet.recap.tweetfeature.is_sensitive <br>
|
|
in_reply_to_tweet.recap.tweetfeature.num_mentions <br>
|
|
in_reply_to_tweet.recap.tweetfeature.prev_user_tweet_enagagement <br>
|
|
in_reply_to_tweet.recap.tweetfeature.unidirectiona_fav_count <br>
|
|
in_reply_to_tweet.recap.tweetfeature.unidirectional_reply_count <br>
|
|
in_reply_to_tweet.recap.tweetfeature.unidirectional_retweet_count <br>
|
|
in_reply_to_tweet.recap.tweetfeature.user_rep <br>
|
|
in_reply_to_tweet.timelines.earlybird.decayed_favorite_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.decayed_quote_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.decayed_reply_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.decayed_retweet_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.has_quote <br>
|
|
in_reply_to_tweet.timelines.earlybird.quote_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.weighted_fav_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.weighted_quote_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.weighted_reply_count <br>
|
|
in_reply_to_tweet.timelines.earlybird.weighted_retweet_count <br>
|
|
in_reply_to_tweet.timelines.earlybird_score <br>
|
|
in_reply_to_tweet.tweetsource.tweet.media.aspect_ratio_den <br>
|
|
in_reply_to_tweet.tweetsource.tweet.media.aspect_ratio_num <br>
|
|
in_reply_to_tweet.tweetsource.tweet.media.height_1 <br>
|
|
in_reply_to_tweet.tweetsource.tweet.media.height_2 <br>
|
|
in_reply_to_tweet.tweetsource.tweet.media.video_duration <br>
|
|
in_reply_to_tweet.tweetsource.tweet.text.has_question <br>
|
|
in_reply_to_tweet.tweetsource.tweet.text.length <br>
|
|
in_reply_to_tweet.tweetsource.tweet.text.num_caps <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</code>
|
|
</details>
|
|
|
|
<details>
|
|
<summary><b><code>timelines.earlybird</code></b></summary>
|
|
<br>
|
|
This feature group passes on features used by the search and light ranking service ("Earlybird") to the Heavy Ranker. <br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
timelines.earlybird.decayed_favorite_count <br>
|
|
timelines.earlybird.decayed_quote_count <br>
|
|
timelines.earlybird.decayed_reply_count <br>
|
|
timelines.earlybird.decayed_retweet_count <br>
|
|
timelines.earlybird.embeds_impression_count_v2 <br>
|
|
timelines.earlybird.embeds_url_count_v2 <br>
|
|
timelines.earlybird.fake_favorite_count <br>
|
|
timelines.earlybird.fake_quote_count <br>
|
|
timelines.earlybird.fake_reply_count <br>
|
|
timelines.earlybird.fake_retweet_count <br>
|
|
timelines.earlybird.has_quote <br>
|
|
timelines.earlybird.is_composer_source_camera <br>
|
|
timelines.earlybird.label_abusive_flag <br>
|
|
timelines.earlybird.label_abusive_hi_rcl_flag <br>
|
|
timelines.earlybird.label_dup_content_flag <br>
|
|
timelines.earlybird.label_nsfw_hi_prc_flag <br>
|
|
timelines.earlybird.label_nsfw_hi_rcl_flag <br>
|
|
timelines.earlybird.label_spam_flag <br>
|
|
timelines.earlybird.label_spam_hi_rcl_flag <br>
|
|
timelines.earlybird.periscope_exists <br>
|
|
timelines.earlybird.periscope_has_been_featured <br>
|
|
timelines.earlybird.periscope_is_currently_featured <br>
|
|
timelines.earlybird.periscope_is_from_quality_source <br>
|
|
timelines.earlybird.periscope_is_live <br>
|
|
timelines.earlybird.preported_tweet_score <br>
|
|
timelines.earlybird.quote_count <br>
|
|
timelines.earlybird.visible_token_ratio <br>
|
|
timelines.earlybird.weighted_fav_count <br>
|
|
timelines.earlybird.weighted_quote_count <br>
|
|
timelines.earlybird.weighted_reply_count <br>
|
|
timelines.earlybird.weighted_retweet_count <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
<details>
|
|
<summary><b><code>realtime_interaction_graph</code></b></summary>
|
|
<br>
|
|
User-author interaction features. Similar to RealGraph but updated more rapidly. <br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
realtime_interaction_graph.click.count <br>
|
|
realtime_interaction_graph.click.days_since_last <br>
|
|
realtime_interaction_graph.fav.count <br>
|
|
realtime_interaction_graph.fav.days_since_last <br>
|
|
realtime_interaction_graph.mention.count <br>
|
|
realtime_interaction_graph.mention.days_since_last <br>
|
|
realtime_interaction_graph.profile_view.count <br>
|
|
realtime_interaction_graph.profile_view.days_since_last <br>
|
|
realtime_interaction_graph.retweet.count <br>
|
|
realtime_interaction_graph.retweet.days_since_last <br>
|
|
realtime_interaction_graph.soft_follow.count <br>
|
|
realtime_interaction_graph.soft_follow.days_since_last
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
<details>
|
|
<summary><b><code>user_tweet.recommendations</code></b></summary>
|
|
<br>
|
|
Similarity of a tweet to a user's recent engaged tweets. <br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.fav_1d_last_10_avg <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.fav_1d_last_10_max <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.fav_7d_last_10_avg <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.fav_7d_last_10_max <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.follow_30d_last_10_avg <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.follow_30d_last_10_max <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.follow_7d_last_10_avg <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.follow_7d_last_10_max <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.retweet_1d_last_10_avg <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.retweet_1d_last_10_max <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.retweet_7d_last_10_avg <br>
|
|
user_tweet.recommendations.sim_clusters_recent_engagement_similarity.retweet_7d_last_10_max <br>
|
|
user-tweet.recommendations.sim_clusters_scores.user_interested_in_tweet_embedding_dot_product_20m_145k_2020 <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
<details>
|
|
<summary><b><code>other</code></b></summary>
|
|
<br>
|
|
Here we list individual features not covered in any feature group <br>
|
|
<table>
|
|
<tr>
|
|
<td>
|
|
<code>
|
|
author_health.num_connect <br>
|
|
author_health.num_connect_days <br>
|
|
author_health.num_followers <br>
|
|
engagement_features.in_network.favorites.count <br>
|
|
engagement_features.in_network.replies.count <br>
|
|
engagement_features.in_network.retweets.count <br>
|
|
request_context.display_dpi <br>
|
|
request_context.display_height <br>
|
|
request_context.display_width <br>
|
|
request_context.is_get_initial <br>
|
|
request_context.is_get_middle <br>
|
|
request_context.is_get_newer <br>
|
|
request_context.is_get_older <br>
|
|
request_context.is_session_start <br>
|
|
time_features.earlybird.last_favorite_since_creation_hrs <br>
|
|
time_features.earlybird.last_quote_since_creation_hrs <br>
|
|
time_features.earlybird.last_reply_since_creation_hrs <br>
|
|
time_features.earlybird.last_retweet_since_creation_hrs <br>
|
|
time_features.earlybird.time_since_last_favorite <br>
|
|
time_features.earlybird.time_since_last_quote <br>
|
|
time_features.earlybird.time_since_last_reply <br>
|
|
time_features.earlybird.time_since_last_retweet <br>
|
|
time_features.is_tweet_recycled <br>
|
|
time_features.non_polling_requests_since_tweet_creation <br>
|
|
time_features.time_between_non_polling_requests_avg <br>
|
|
time_features.time_since_last_non_polling_request <br>
|
|
time_features.time_since_source_tweet_creation <br>
|
|
time_features.time_since_tweet_creation <br>
|
|
time_features.time_since_viewer_account_creation_secs <br>
|
|
time_features.tweet_age_ratio <br>
|
|
</code>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</details>
|
|
|
|
## Embeddings Features
|
|
|
|
[Twhin](https://arxiv.org/pdf/2202.05387.pdf) is a large graph embedding trained on Twitter data. We use three 200-dimensional embeddings sourced from the Twhin algorithm.
|
|
|
|
<details>
|
|
<summary><b><code>Twhin Follow Embeddings</code></b></summary>
|
|
<br>
|
|
We have two embeddings trained on the user-user follow graph, one representing who is likely to follow a user and the other representing who a user is likely to follow. Each embedding is 200-dimensional.
|
|
</details>
|
|
|
|
<details>
|
|
<summary><b><code>Twhin Engagement Embeddings</code></b></summary>
|
|
<br>
|
|
We have one embedding trained on the user-tweet engagement graph, representing users based on the Tweets they are likely to engage with. This embedding is 200 dimensional.
|