Oct 21, 2022 · LUME uses multi-teacher ensemble and debiased knowl- edge distillation to aggregate knowledge from multiple pretrained. RRS, and generates a ...
Oct 17, 2022 · LUME is a novel framework that addresses the three problems simultaneously. LUME uses multi-teacher ensemble and debiased knowledge distillation ...
Oct 21, 2022 · LUME first captures high quality, generalizable common knowledge shared within mul- tiple teacher RRS, and then trains a lightweight student ...
Oct 31, 2024 · Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. CIKM 2022: 4620-4624. [c24]. view. electronic edition via DOI ...
Degree:Doctor of Science (D.Sc.) MORE >>. Paper Publications. Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. date:2023-07-17 ...
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. CIKM 2022: 4620-4624 pdf. Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan ...
May 14, 2024 · In this paper, we provide a comprehensive overview of the developments in review-based recommender systems over recent years.
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation ... LUME (a Lightweight Unbiased Multi-teacher Ensemble) for RRS is a novel ...
Hui Li is an associate professor in Department of Computer Science and Technology, Xiamen University (XMU). His research interests are Information Retrieval ...
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation · hmtl icon · Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang.