twitter-algorithm/graph-feature-service/doc/common.md
twitter-team ef4c5eb65e Twitter Recommendation Algorithm
Please note we have force-pushed a new initial commit in order to remove some publicly-available Twitter user information. Note that this process may be required in the future.
2023-03-31 17:36:31 -05:00

63 lines
1.5 KiB
Markdown

# Common thrift types
GFS uses several thrift datastructures which are common to multiple queries. They are listed below.
## EdgeType
`EdgeType` is a thrift enum which specifies which edge types to query for the graph.
```thrift
enum EdgeType {
FOLLOWING,
FOLLOWED_BY,
FAVORITE,
FAVORITED_BY,
RETWEET,
RETWEETED_BY,
REPLY,
REPLYED_BY,
MENTION,
MENTIONED_BY,
MUTUAL_FOLLOW,
SIMILAR_TO, // more edge types (like block, report, etc.) can be supported later.
RESERVED_12,
RESERVED_13,
RESERVED_14,
RESERVED_15,
RESERVED_16,
RESERVED_17,
RESERVED_18,
RESERVED_19,
RESERVED_20
}
```
For an example of how this is used, consider the `GetNeighbors` query. If we set the `edgeType` field
of the `GfsNeighborsRequest`, the response will contain all the users that the specified user follows.
If, on the other hand, we set `edgeType` to be `FollowedBy` it will return all the users who are
followed by the specified user.
## FeatureType
`FeatureType` is a thrift struct which is used in queries which require two edge types.
```thrift
struct FeatureType {
1: required EdgeType leftEdgeType // edge type from source user
2: required EdgeType rightEdgeType // edge type from candidate user
}(persisted="true")
```
## UserWithScore
The candidate generation queries return lists of candidates together with a computed score for the
relevant feature. `UserWithScore` is a thrift struct which bundles together a candidate's ID with
the score.
```thrift
struct UserWithScore {
1: required i64 userId
2: required double score
}
```