AAAI 2026technical0 citations
MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation
Yige Wang, Mingming Li, Li Wang, Kaichen Zhao, Wangming Li, Weipeng Jiang, Xueying LI
Abstract
Recent advances in the field of sequential recommendation have highlighted the potential of Large Language Models (LLMs) in enhancing item embeddings and improving user understanding. However, existing approaches face three major limitations: 1) insufficient understanding of the reasons behind users
BibTeX
@inproceedings{aaai2026_momorecamultiage,
title = {MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation},
author = {Yige Wang and Mingming Li and Li Wang and Kaichen Zhao and Wangming Li and Weipeng Jiang and Xueying LI},
booktitle = {AAAI 2026},
year = {2026}
}