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20222026
most citedCF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems

3 citations · 4 across the 14 of their papers we have counts for

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Showing 2025Show all

3 papers · 1 filter

cs.IR2025

Training-free Adjustable Polynomial Graph Filtering for Ultra-fast Multimodal Recommendation

Yu-Seung Roh, Joo-Young Kim, Jin-Duk Park +1

Multimodal recommender systems improve the performance of canonical recommender systems with no item features by utilizing diverse content types such as text, images, and videos, w…

cs.IR2025

Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation

Chae-Hyun Kim, Yoon-Ryung Choi, Jin-Duk Park +1

Group recommendation aims at providing optimized recommendations tailored to diverse groups, enabling groups to enjoy appropriate items. On the other hand, most existing group reco…

cs.IR2025

Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation

Jin-Duk Park, Jaemin Yoo, Won-Yong Shin

Multi-criteria (MC) recommender systems, which utilize MC rating information for recommendation, are increasingly widespread in various e-commerce domains. However, the MC recommen…