Mirrors/the-algorithm
2
0
Fork 0
mirror of https://github.com/twitter/the-algorithm.git synced 2024-06-10 13:18:47 +02:00
Code Issues Packages Projects Releases Wiki Activity
main
the-algorithm/follow-recommendations-service/common/src/main/scala/com/twitter/follow_recommendations/common/candidate_sources/real_graph
History
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
..
BUILD Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00
README.md Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00
RealGraphOonFSConfig.scala Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00
RealGraphOonParams.scala Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00
RealGraphOonV2Source.scala Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00
RealGraphSource.scala Twitter Recommendation Algorithm 2023-03-31 17:36:31 -05:00

README.md

RealGraph Candidate Source

Provides out-of-network RealGraph candidates for a given user. RealGraph is a user-user graph dataset that aims to measure the strength of the relationship between two users.

RealGraph comprises two components: a real-time pipeline that tracks various counts and relationships between user-user edges (such as the number of favorites, replies, retweets, clicks, whether followed, muted, or blocked), and an offline pipeline of a larger set of such user-user edge counts and relationships. Currently, the top k in-network scores have been exported for use by various teams.

The RealGraph dataset is used to predict user interactions at Twitter, and is based on the paper "Realgraph: User interaction prediction at Twitter" by the UEO workshop at KDD'14.