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# UserTweetEntityGraph (UTEG)
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## What is it
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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.
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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.
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## How is it used on Twitter
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UTEG generates the "XXX Liked" out-of-network tweets seen on Twitter's Home Timeline.
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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,
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performs efficient traversal & aggregation, and returns the top weighted tweets engaged basd on # of users that engaged the tweet, as well as
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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,
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performs efficient traversal & aggregation, and returns the top-weighted tweets engaged based on # of users that engaged the tweet, as well as
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the engaged users' weights.
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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
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24-48 hours. Older events are dropped and GC'ed.
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UTEG is a stateful service and relies on a Kafka stream to ingest & persist states. It maintains in-memory user engagements over the past
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24-48 hours. Older events are dropped and GC'ed.
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For full details on storage & processing, please check out our open-sourced project GraphJet, a general-purpose high performance in-memory storage engine.
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For full details on storage & processing, please check out our open-sourced project GraphJet, a general-purpose high-performance in-memory storage engine.
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- https://github.com/twitter/GraphJet
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- http://www.vldb.org/pvldb/vol9/p1281-sharma.pdf
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