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Zhiyi Tan

2 accepted papers

2025

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation

AAAI 2025technical

Multimedia recommender systems focus on utilizing behavioral information and content information to model user preferences. Typically, it employs pre-trained feature encoders to extract content features, then fuses them with behavioral features. However, pre-trained feature encoders often extract fe…

2025

Mind Individual Information! Principal Graph Learning for Multimedia Recommendation

AAAI 2025technical

Graph Neural Network (GNN)-based methods have recently emerged as effective approaches for multimedia recommendation. Typically, these methods employ message passing on the user-item interaction graph, and model user preferences by exploiting co-occurrence patterns. Despite their effectiveness, we a…