the-algorithm/src/scala/com/twitter/recos/user_tweet_graph/README.md
twitter-team ef4c5eb65e Twitter Recommendation Algorithm
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# UserTweetGraph (UTG)
## What is it
User Tweet Graph (UTG) is a Finalge thrift service built on the GraphJet framework. In maintains a graph of user-tweet engagements and serves user recommendations based on traversals of this graph.
## How is it used on Twitter
UTG recommends tweets based on collaborative filtering & random walks. UTG takes a set of seed users or seed tweets as input, and performs
1-hop, 2-hop, or even 3+hop traversals on the engagement graph.
UTG's user-tweet engagement edges are bi-directional, and this enables it to perform flexible multi-hop traversals. The flipside to this is
UTG is more memory demanding compared to other GraphJet services like UTEG, whose engagement edges are single directional.
UTG is a stateful service and relies on a Kafka stream to ingest & persist states. The Kafka stream is processed and generated by Recos-Injector.
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.
- https://github.com/twitter/GraphJet
- http://www.vldb.org/pvldb/vol9/p1281-sharma.pdf