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Real-time Video Recommendation Exploration

Summary: Scalable online collaborative filtering via matrix factorization with adaptive updates for implicit feedback enables real-time video recommendations. Candidate selection uses video type and time; production-ready optimizations include demographic filtering/training, with Tencent Video data validating superior performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5203
Venue
SIGMOD
Year
2016
Pagerank
4.1905499e-05
Overall Rank
11,854 | 17.62%
DOI
10.1145/2882903.2903743

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
1,946 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 9.9983926e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
287 Storm @Twitter 2014 SIGMOD 0.00028917909
1,788 StreamRec: A Real-Time Recommender System 2011 SIGMOD 0.00010541173
2,855 Exploiting Matrix Dependency for Efficient Distributed Matrix Computation 2015 SIGMOD 8.013421e-05
4,437 TencentRec: Real-time Stream Recommendation in Practice 2015 SIGMOD 6.1825805e-05
6,918 Online Video Recommendation in Sharing Community 2015 SIGMOD 4.8878659e-05
8,542 A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems 2014 SIGMOD 4.4893996e-05
9,761 TeRec: A Temporal Recommender System Over Tweet Stream 2013 VLDB 4.2833359e-05
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