Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach

9 July 2020

Papers citing "Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach"

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 53 5 0 02 Sep 2024
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 24 12 0 20 Jun 2023
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings Antoine Ledent Rodrigo Alves Yunwen Lei Y. Guermeur Marius Kloft 23 3 0 16 Dec 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 38 8 0 30 Sep 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 18 0 0 09 Sep 2022
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 27 32 0 09 Oct 2021