Papers › PEN4Rec: Preference Evolution Networks for Session-based Recommendation
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
Dou Hu, Lingwei Wei, Wei Zhou, Xiaoyong Huai, Zhiqi Fang, Songlin Hu
Session-based recommendation aims to predict user the next action based on historical behaviors in an anonymous session. For better recommendations, it is vital to capture user preferences as well as their dynamics. Besides, user preferences evolve over time dynamically and each preference has its own evolving track. However, most previous works neglect the evolving trend of preferences and can be easily disturbed by the effect of preference drifting. In this paper, we propose a novel Preference Evolution Networks for session-based Recommendation (PEN4Rec) to model preference evolving process by a two-stage retrieval from historical contexts. Specifically, the first-stage process integrates relevant behaviors according to recent items. Then, the second-stage process models the preference evolving trajectory over time dynamically and infer rich preferences. The process can strengthen the effect of relevant sequential behaviors during the preference evolution and weaken the disturbance from preference drifting. Extensive experiments on three public datasets demonstrate the effectiveness and superiority of the proposed model.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Session-Based Recommendations | Diginetica | PEN4Rec | Hit@20 | 52.50 | #5 of 13 | Archive leaderboard | report |
| Session-Based Recommendations | Diginetica | PEN4Rec | MRR@20 | 18.56 | #5 of 13 | Archive leaderboard | report |
| Session-Based Recommendations | Last.FM | PEN4Rec | HR@20 | 28.82 | #1 of 3 | Archive leaderboard | report |
| Session-Based Recommendations | Last.FM | PEN4Rec | MRR@20 | 11.33 | #1 of 3 | Archive leaderboard | report |
| Session-Based Recommendations | yoochoose1/64 | PEN4Rec | HR@20 | 71.53 | #3 of 11 | Archive leaderboard | report |
| Session-Based Recommendations | yoochoose1/64 | PEN4Rec | MRR@20 | 31.71 | #3 of 11 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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