Papers › STAR: A Session-Based Time-Aware Recommender System
STAR: A Session-Based Time-Aware Recommender System
Reza Yeganegi, Saman Haratizadeh
Session-Based Recommenders (SBRs) aim to predict users' next preferences regard to their previous interactions in sessions while there is no historical information about them. Modern SBRs utilize deep neural networks to map users' current interest(s) during an ongoing session to a latent space so that their next preference can be predicted. Although state-of-art SBR models achieve satisfactory results, most focus on studying the sequence of events inside sessions while ignoring temporal details of those events. In this paper, we examine the potential of session temporal information in enhancing the performance of SBRs, conceivably by reflecting the momentary interests of anonymous users or their mindset shifts during sessions. We propose the STAR framework, which utilizes the time intervals between events within sessions to construct more informative representations for items and sessions. Our mechanism revises session representation by embedding time intervals without employing discretization. Empirical results on Yoochoose and Diginetica datasets show that the suggested method outperforms the state-of-the-art baseline models in Recall and MRR criteria.
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 | STAR | Hit@20 | 53.98 | #4 of 13 | Archive leaderboard | report |
| Session-Based Recommendations | Diginetica | STAR | MRR@20 | 18.66 | #4 of 13 | Archive leaderboard | report |
| Session-Based Recommendations | yoochoose1/4 | STAR | Hit@20 | 72.46 | #1 of 4 | Archive leaderboard | report |
| Session-Based Recommendations | yoochoose1/4 | STAR | MRR@20 | 32.7 | #1 of 4 | Archive leaderboard | report |
| Session-Based Recommendations | yoochoose1/64 | STAR | Hit@20 | 71.31 | #7 of 11 | Archive leaderboard | report |
| Session-Based Recommendations | yoochoose1/64 | STAR | MRR@20 | 31.3 | #7 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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