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TencentRec: Real-time Stream Recommendation in Practice

Summary: Real-time stream recommender built on Storm for big data, real-time updates, and accuracy in production apps. Introduces scalable, incremental item-based CF robust to implicit feedback with real-time pruning; end-to-end data/system pipeline deployed to handle 10B daily requests. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5072
Venue
SIGMOD
Year
2015
Pagerank
6.6446748e-05
Overall Rank
4,529 | 68.93%
DOI
10.1145/2723372.2724785

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{huang_sigmod15,
        title = {{TencentRec: Real-time Stream Recommendation in Practice}},
        author = {Huang, Yanxiang and Cui, Bin and Zhang, Wenyu and Jiang, Jie and Xu, Ying},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2724785},
        url = {https://dl.acm.org/doi/10.1145/2723372.2724785},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2,929 StreamRec: A Real-Time Recommender System 2011 SIGMOD 7.9525409e-05
8,748 A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems 2014 SIGMOD 5.3766157e-05
9,888 TeRec: A Temporal Recommender System Over Tweet Stream 2013 VLDB 5.2004234e-05
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