Collaborative Distillation for Top-N Recommendation

13 November 2019

Papers citing "Collaborative Distillation for Top-N Recommendation"

7 / 7 papers shown

Title
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 43 0 0 16 Nov 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
Unbiased Knowledge Distillation for Recommendation Gang Chen Jiawei Chen Fuli Feng Sheng Zhou Xiangnan He 32 27 0 27 Nov 2022
Cooperative Retriever and Ranker in Deep Recommenders Xunpeng Huang Defu Lian Jin Chen Liu Zheng Xing Xie Enhong Chen VLM AI4TS 30 11 0 28 Jun 2022
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System Youngjune Lee Kee-Eung Kim 22 19 0 08 Sep 2021
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation Junsu Cho Dongmin Hyun SeongKu Kang Hwanjo Yu 36 29 0 29 Apr 2021
DE-RRD: A Knowledge Distillation Framework for Recommender System SeongKu Kang Junyoung Hwang Wonbin Kweon Hwanjo Yu 29 79 0 08 Dec 2020