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20222026
most citedRepresentation Learning with Large Language Models for Recommendation

215 citations · 725 across the 19 of their papers we have counts for

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cs.IR2022

Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention

Yaochen Zhu, Xubin Ren, Jing Yi +1

Traditional content-based tag recommender systems directly learn the association between user-generated content (UGC) and tags based on collected UGC-tag pairs. However, since a UG…

cs.IR2022

Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation

Jing Yi, Xubin Ren, Zhenzhong Chen

Recommending appropriate tags to items can facilitate content organization, retrieval, consumption and other applications, where hybrid tag recommender systems have been utilized t…