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. |
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