A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems

Summary: Proposes TCAM, a temporal-context-aware latent model for social-media user behavior that jointly models intrinsic-interest and temporal-context topics. An item-weighting scheme and efficient online query processing enable fast scalable recommendations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4877
Venue: SIGMOD
Year: 2014
Pagerank: 5.3766157e-05
Overall Rank: 8,748 | 39.99%
DOI: 10.1145/2588555.2593685

Incoming Non-self Citations Over Time

Authors

1. Hongzhi Yin (Peking University)
2. Bin Cui (Peking University)
3. Ling Chen (University of Technology Sydney)
4. Zhiting Hu (Peking University)
5. Zi Huang (University of Queensland)

BibTeX Citation

@inproceedings{yin_sigmod14,
        title = {{A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems}},
        author = {Yin, Hongzhi and Cui, Bin and Chen, Ling and Hu, Zhiting and Huang, Zi},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2593685},
        url = {https://dl.acm.org/doi/10.1145/2588555.2593685},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,529	TencentRec: Real-time Stream Recommendation in Practice	2015	SIGMOD	6.6446748e-05
12,035	Topic Exploration in Spatio-Temporal Document Collections	2016	SIGMOD	5.093636e-05
12,047	Real-time Video Recommendation Exploration	2016	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
5	Optimal Aggregation Algorithms for Middleware [Extended Abstract]	2001	PODS	0.0010828372
4,272	Challenging the Long Tail Recommendation	2012	VLDB	6.7911017e-05

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