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)
Incoming Non-self Citations Over Time
Authors
- 1. Hongzhi Yin
- 2. Bin Cui
- 3. Ling Chen
- 4. Zhiting Hu
- 5. Zi Huang
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,437 | TencentRec: Real-time Stream Recommendation in Practice | 2015 | SIGMOD | 6.1825805e-05 |
| 11,842 | Topic Exploration in Spatio-Temporal Document Collections | 2016 | SIGMOD | 4.1905499e-05 |
| 11,854 | Real-time Video Recommendation Exploration | 2016 | SIGMOD | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 8 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015436578 |
| 4,975 | Challenging the Long Tail Recommendation | 2012 | VLDB | 5.7854712e-05 |
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