Dual Correction Strategy for Ranking Distillation in Top-N Recommender System

8 September 2021

Papers citing "Dual Correction Strategy for Ranking Distillation in Top-N Recommender System"

5 / 5 papers shown

Title
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 43 0 0 16 Nov 2024
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation Shuyao Wang Yongduo Sui Jiancan Wu Zhi Zheng Hui Xiong 11 16 0 05 Feb 2024
Distillation from Heterogeneous Models for Top-K Recommendation SeongKu Kang Wonbin Kweon Dongha Lee Jianxun Lian Xing Xie Hwanjo Yu VLM 27 21 0 02 Mar 2023
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation Z. Zhu Shijing Si Jianzong Wang Yaodong Yang Jing Xiao FedML 14 3 0 24 Aug 2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SeongKu Kang Dongha Lee Wonbin Kweon Junyoung Hwang Hwanjo Yu 17 12 0 26 Feb 2022