3 papers
cs.IR2026
Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
Runhao Jiang, Renchi Yang, Donghao Wu
Recommender systems have advanced markedly over the past decade by transforming each user/item into a dense embedding vector with deep learning models. At industrial scale, embeddi…
cs.LG2025
Effective Clustering for Large Multi-Relational Graphs
Xiaoyang Lin, Runhao Jiang, Renchi Yang
Multi-relational graphs (MRGs) are an expressive data structure for modeling diverse interactions/relations among real objects (i.e., nodes), which pervade extensive applications a…
cs.SI2025
Community-Aware Social Community Recommendation
Runhao Jiang, Renchi Yang, Wenqing Lin
Social recommendation, which seeks to leverage social ties among users to alleviate the sparsity issue of user-item interactions, has emerged as a popular technique for elevating p…