GraphJet: Real-Time Content Recommendations at Twitter
Summary: In-memory, single-server graph engine for real-time user–tweet bipartite recommendations. Temporal-partitioned adjacency, compact edge encoding, and power-law aware memory allocation enable high-throughput ingestion (≈1M edges/sec) and ~500 recommendations/sec via random-walk-based algorithms. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Aneesh Sharma
- 2. Jerry Jiang
- 3. Praveen Bommannavar
- 4. Brian Larson
- 5. Jimmy Lin
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0024183614 |
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019005923 |
| 288 | Storm @Twitter | 2014 | SIGMOD | 0.00028939871 |
| 558 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD | 0.00020168032 |
| 886 | Fast Personalized PageRank on MapReduce | 2011 | SIGMOD | 0.00015597161 |
| 1,154 | Fast Incremental Indexing for Full-Text Information Retrieval | 1994 | VLDB | 0.00013642184 |
| 1,517 | Incremental Updates of Inverted Lists for Text Document Retrieval | 1994 | SIGMOD | 0.00011578859 |
| 2,228 | Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs | 2014 | VLDB | 9.2385241e-05 |
| 3,601 | Large-Scale Machine Learning at Twitter | 2012 | SIGMOD | 6.9315087e-05 |
| 4,572 | The Unified Logging Infrastructure for Data Analytics at Twitter | 2012 | VLDB | 6.0760183e-05 |
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