Challenging the Long Tail Recommendation
Summary: Graph-based long-tail recommendation using an undirected edge-weighted user-item graph; analyzes hitting-time for tail-item ranking. Introduces Absorbing Time and entropy-biased Absorbing Cost to improve diversity and accuracy, with empirical gains over state-of-the-art baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hongzhi Yin
- 2. Bin Cui
- 3. Jing Li
- 4. Junjie Yao
- 5. Chen Chen
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,394 | Efficient Estimation of Pairwise Effective Resistance | 2023 | SIGMOD | 4.7427524e-05 |
| 8,544 | A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems | 2014 | SIGMOD | 4.4937074e-05 |
| 10,075 | Efficient Exact Resistance Distance Computation on Small-Treewidth Graphs: a Labelling Approach | 2026 | SIGMOD | 4.1945683e-05 |
| 10,957 | Efficient and Provable Effective Resistance Computation on Large Graphs: an Index-based Approach | 2024 | SIGMOD | 4.1945683e-05 |
| 10,958 | Efficient Approximation of Kemeny’s Constant for Large Graphs | 2024 | SIGMOD | 4.1945683e-05 |
| 11,953 | Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction | 2015 | VLDB | 4.1945683e-05 |
| 12,064 | Mobility and Social Networking: A Data Management Perspective | 2013 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 2,930 | Assessing and Ranking Structural Correlations in Graphs | 2011 | SIGMOD | 7.8723983e-05 |
| 5,204 | Recsplorer: Recommendation Algorithms Based on Precedence Mining | 2010 | SIGMOD | 5.6308806e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,774 | On m-Impact Regions and Standing Top-k Influence Problems | 2021 | SIGMOD | 4.2856106e-05 |
| 8,296 | Modern Recommender Systems: from Computing Matrices to Thinking with Neurons | 2018 | SIGMOD | 4.5435639e-05 |
| 3,802 | Group Recommendation: Semantics and Efficiency | 2009 | VLDB | 6.7552492e-05 |
| 4,439 | TencentRec: Real-time Stream Recommendation in Practice | 2015 | SIGMOD | 6.1885354e-05 |
| 13,116 | The Limits of Graph Samplers for Training Inductive Recommender Systems | 2025 | VLDB | - |
| 11,846 | Real-time Video Recommendation Exploration | 2016 | SIGMOD | 4.1945683e-05 |
| 10,885 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB | 4.1945683e-05 |
| 12,007 | Show Me the Money: Dynamic Recommendations for Revenue Maximization | 2014 | VLDB | 4.1945683e-05 |
| 4,887 | Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior | 2012 | VLDB | 5.8533058e-05 |
| 11,218 | Equitable Top-k Results for Long Tail Data | 2023 | SIGMOD | 4.1945683e-05 |