Tag: Multimodal Recommender Systems
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Exploration of Intermediate Fusion Strategies Between Graph and Text Modalities in Session-Based Recommender Systems
Author: Roman Grebnev Supervisor: Julia Neidhardt, Co-Supervisor: Ahmadou Wagne Abstract Online platforms often recommend items to users based on their current browsing activity, especially when long-term user history isn’t available. These Session-Based Recommender Systems typically rely on the sequence of items a user interacts with. However, just looking at the sequence (like a graph of…