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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Jun Zhang (Tsinghua University)
- 2. Chaokun Wang (Tsinghua University)
- 3. Jianmin Wang (Tsinghua University)
- 4. Jeffrey Xu Yu (Chinese University of Hong Kong)
BibTeX Citation
@article{zhang_vldb15,
title = {{Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction}},
author = {Zhang, Jun and Wang, Chaokun and Wang, Jianmin and Yu, Jeffrey Xu},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {3},
pages = {269--280},
doi = {10.14778/2735479.2735482},
url = {https://doi.org/10.14778/2735479.2735482},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,810 | Personalized Social Recommendations - Accurate or Private? | 2011 | VLDB | 7.1068237e-05 |
| 4,272 | Challenging the Long Tail Recommendation | 2012 | VLDB | 6.7911017e-05 |
| 5,433 | Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior | 2012 | VLDB | 6.2210009e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,433 | Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior | 2012 | VLDB |
| 2 | 11,108 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB |
| 3 | 3,984 | Learning User Preferences By Adaptive Pairwise Comparison | 2015 | VLDB |
| 4 | 9,349 | Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs | 2023 | VLDB |
| 5 | 4,729 | EBM - An Entropy-Based Model to Infer Social Strength from Spatiotemporal Data | 2013 | SIGMOD |
| 6 | 6,078 | Multiple Time Series Forecasting with Dynamic Graph Modeling | 2024 | VLDB |
| 7 | 4,980 | Decoupled Graph Neural Networks for Large Dynamic Graphs | 2023 | VLDB |
| 8 | 8,825 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB |
| 9 | 5,710 | Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users? | 2016 | SIGMOD |
| 10 | 8,748 | A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems | 2014 | SIGMOD |