Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction
Summary: Introduces DP-Space, a continuous-time dynamic preference probability space with flexible basis functions to capture evolving social influence and personal preference. Proposes ConTyor, a generative model for temporal adoption as a joint continuous-time effect of influence and preference, with inference and experiments showing gains over static and discrete-time baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jun Zhang
- 2. Chaokun Wang
- 3. Jianmin Wang
- 4. Jeffrey Xu Yu
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,875 | Personalized Social Recommendations - Accurate or Private? | 2011 | VLDB | 6.6704791e-05 |
| 4,891 | Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior | 2012 | VLDB | 5.8476762e-05 |
| 4,975 | Challenging the Long Tail Recommendation | 2012 | VLDB | 5.7854712e-05 |
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