15 citations · 34 across the 8 of their papers we have counts for
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cs.IR2023
A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions
Hongyu Zhou, Xin Zhou, Zhiwei Zeng +2
Recommendation systems have become popular and effective tools to help users discover their interesting items by modeling the user preference and item property based on implicit in…
cs.IR2023★ 3 cited
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation
Hongyu Zhou, Xin Zhou, Lingzi Zhang +1
User interaction data in recommender systems is a form of dyadic relation that reflects the preferences of users with items. Learning the representations of these two discrete sets…