Papers with Session-based recommendation
Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation (2025.coling-main)
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| Challenge: | Existing methods rely on user actions within the current session, overlooking the wealth of auxiliary information available. |
| Approach: | They propose a session-based recommendation model that leverages the current session graph and similar session graphs to capture the intrinsic relationships between items. |
| Outcome: | The proposed model improves on the Diginetica dataset by 2.00% and 10.70% respectively. |
Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems (2024.lrec-main)
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| Challenge: | Presently, graph-based recommendations are limited by session dependencies and data sparsity in real-world scenarios. |
| Approach: | They propose a method which uses multi-collaborative self-supervised learning in hypergraph neural networks to model item transitions and to mitigate the challenges of data sparsity. |
| Outcome: | The proposed method outperforms existing methods in a number of domains and consistently outperformed existing methods. |