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.. | ||
BUILD | ||
EntitySocialProofRunner.scala | ||
LoggingUserTweetEntityGraph.scala | ||
Main.scala | ||
README.md | ||
RecommendationHandler.scala | ||
RecosConfig.scala | ||
SocialProofHandler.scala | ||
SocialProofHydrator.scala | ||
TweetRecommendationsRunner.scala | ||
TweetSocialProofHandler.scala | ||
TweetSocialProofRunner.scala | ||
UserTweetEdgeTypeMask.scala | ||
UserTweetEntityGraph.scala | ||
UserTweetEntityGraphWriter.scala |
README.md
UserTweetEntityGraph (UTEG)
What is it
User Tweet Entity Graph (UTEG) is a Finalge thrift service built on the GraphJet framework. It maintains a graph of user-tweet relationships and serves user recommendations based on traversals in this graph.
How is it used on Twitter
UTEG generates the "XXX Liked" out-of-network tweets seen on Twitter's Home Timeline. The core idea behind UTEG is collaborative filtering. UTEG takes a user's weighted follow graph (i.e a list of weighted userIds) as input, performs efficient traversal & aggregation, and returns the top-weighted tweets engaged based on # of users that engaged the tweet, as well as the engaged users' weights.
UTEG is a stateful service and relies on a Kafka stream to ingest & persist states. It maintains in-memory user engagements over the past 24-48 hours. Older events are dropped and GC'ed.
For full details on storage & processing, please check out our open-sourced project GraphJet, a general-purpose high-performance in-memory storage engine.