User Tweet Entity Graph (UTEG) is a Finalge thrift service built on the GraphJet framework. In maintains a graph of user-tweet relationships and serves user recommendations based on traversals in this graph.
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 basd 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 an 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.