Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the
Theoretical Perspectives

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives

23 October 2021

Chuanwei Ruan

Sushant Kumar

Papers citing "Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives"

6 / 6 papers shown

Title
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 45 5 0 02 Sep 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 57 1 0 08 Nov 2023
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 30 8 0 30 Sep 2022
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders Teng Xiao Zhengyu Chen Suhang Wang OOD CML OffRL 25 0 0 07 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 31 28 0 03 Jun 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation Yuyuan Li Xiaolin Zheng Chaochao Chen Junlin Liu MU 34 39 0 22 Mar 2022