200 citations · 202 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation
Shenghao Yang, Chenyang Wang, Yankai Liu +7
Item representation learning (IRL) plays an essential role in recommender systems, especially for sequential recommendation. Traditional sequential recommendation models usually ut…
cs.IR2022★ 200 cited
Towards Representation Alignment and Uniformity in Collaborative Filtering
Chenyang Wang, Yuanqing Yu, Weizhi Ma +4
Collaborative filtering (CF) plays a critical role in the development of recommender systems. Most CF methods utilize an encoder to embed users and items into the same representati…
cs.IR2019★ 1 cited
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Weizhi Ma, Min Zhang, Yue Cao +6
Explainability and effectiveness are two key aspects for building recommender systems. Prior efforts mostly focus on incorporating side information to achieve better recommendation…