DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation

Xiaohan Zhan; Yuliang Shi; Jihu Wang; Shijun Liu; Fanyu Kong; Zhiyong Chen

AAAI 2026technical0 citations

DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation

Xiaohan Zhan, Yuliang Shi, Jihu Wang, Shijun Liu, Fanyu Kong, Zhiyong Chen

Abstract

Multimodal recommender systems have emerged as a pivotal paradigm for harnessing diverse data modalities to deliver personalized services. Contemporary research predominantly focuses on integrating heterogeneous modality information through graph learning. However, these approaches face two key challenges: (1) the inherent complexity of modalities, characterized by entangled redundant signals and noise; and (2) the challenge of effectively integrating multimodal representations, each of which may exert varying degrees of influence on users

BibTeX

@inproceedings{aaai2026_dhmreccollaborat,
  title = {DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation},
  author = {Xiaohan Zhan and Yuliang Shi and Jihu Wang and Shijun Liu and Fanyu Kong and Zhiyong Chen},
  booktitle = {AAAI 2026},
  year = {2026}
}