twitter-algorithm/RETREIVAL_SIGNALS.md
twitter-team b5e849b029 User Signals in Candidate Sourcing Stage
Add the overview readme about how Twitter uses user signals in candidate retrieval.
2023-04-28 14:16:22 -05:00

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# Signals for Candidate Sources
## Overview
The candidate sourcing stage within the Twitter Recommendation algorithm serves to significantly narrow down the item size from approximately 1 billion to just a few thousand. This process utilizes Twitter user behavior as the primary input for the algorithm. This document comprehensively enumerates all the signals during the candidate sourcing phase.
| Signals | Description |
| :-------------------- | :-------------------------------------------------------------------- |
| Author Follow | The accounts which user explicit follows. |
| Author Unfollow | The accounts which user recently unfollows. |
| Author Mute | The accounts which user have muted. |
| Author Block | The accounts which user have blocked |
| Tweet Favorite | The tweets which user clicked the like botton. |
| Tweet Unfavorite | The tweets which user clicked the unlike botton. |
| Retweet | The tweets which user retweeted |
| Quote Tweet | The tweets which user retweeted with comments. |
| Tweet Reply | The tweets which user replied. |
| Tweet Share | The tweets which user clicked the share botton. |
| Tweet Bookmark | The tweets which user clicked the bookmark botton. |
| Tweet Click | The tweets which user clicked and viewed the tweet detail page. |
| Tweet Video Watch | The video tweets which user watched certain seconds or percentage. |
| Tweet Don't like | The tweets which user clicked "Not interested in this tweet" botton. |
| Tweet Report | The tweets which user clicked "Report Tweet" botton. |
| Notification Open | The push notification tweets which user opened. |
| Ntab click | The tweets which user click on the Notifications page. |
| User AddressBook | The author accounts identifiers of the user's addressbook. |
## Usage Details
Twitter uses these user signals as training labels and/or ML features in the each candidate sourcing algorithms. The following tables shows how they are used in the each components.
| Signals | USS | SimClusters | TwHin | UTEG | FRS | Light Ranking |
| :-------------------- | :----------------- | :----------------- | :----------------- | :----------------- | :----------------- | :----------------- |
| Author Follow | Features | Features / Labels | Features / Labels | Features | Features / Labels | N/A |
| Author Unfollow | Features | N/A | N/A | N/A | N/A | N/A |
| Author Mute | Features | N/A | N/A | N/A | Features | N/A |
| Author Block | Features | N/A | N/A | N/A | Features | N/A |
| Tweet Favorite | Features | Features | Features / Labels | Features | Features / Labels | Features / Labels |
| Tweet Unfavorite | Features | Features | N/A | N/A | N/A | N/A |
| Retweet | Features | N/A | Features / Labels | Features | Features / Labels | Features / Labels |
| Quote Tweet | Features | N/A | Features / Labels | Features | Features / Labels | Features / Labels |
| Tweet Reply | Features | N/A | Features | Features | Features / Labels | Features |
| Tweet Share | Features | N/A | N/A | N/A | Features | N/A |
| Tweet Bookmark | Features | N/A | N/A | N/A | N/A | N/A |
| Tweet Click | Features | N/A | N/A | N/A | Features | Labels |
| Tweet Video Watch | Features | Features | N/A | N/A | N/A | Labels |
| Tweet Don't like | Features | N/A | N/A | N/A | N/A | N/A |
| Tweet Report | Features | N/A | N/A | N/A | N/A | N/A |
| Notification Open | Features | Features | Features | N/A | Features | N/A |
| Ntab click | Features | Features | Features | N/A | Features | N/A |
| User AddressBook | N/A | N/A | N/A | N/A | Features | N/A |