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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
5202
Venue
SIGMOD
Year
2016
Pagerank
4.1945683e-05
Overall Rank
11,846 | 17.59%
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
1,942 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 0.00010012691
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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
288 Storm @Twitter 2014 SIGMOD 0.00028939871
1,790 StreamRec: A Real-Time Recommender System 2011 SIGMOD 0.00010551363
2,848 Exploiting Matrix Dependency for Efficient Distributed Matrix Computation 2015 SIGMOD 8.0208832e-05
4,439 TencentRec: Real-time Stream Recommendation in Practice 2015 SIGMOD 6.1885354e-05
6,916 Online Video Recommendation in Sharing Community 2015 SIGMOD 4.8925595e-05
8,544 A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems 2014 SIGMOD 4.4937074e-05
9,759 TeRec: A Temporal Recommender System Over Tweet Stream 2013 VLDB 4.2874442e-05
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