Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation

no code implementations • 13 Mar 2024 • YuTing Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Recently, sign-aware graph recommendation has drawn much attention as it will learn users' negative preferences besides positive ones from both positive and negative interactions (i. e., links in a graph) with items.

Computational Efficiency

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation

no code implementations • 10 Nov 2023 • YuTing Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang

In this paper, we revisit the value of ID embeddings for multimodal recommendation and conduct a thorough study regarding its semantics, which we recognize as subtle features of content and structures.

Contrastive Learning Multimodal Recommendation