Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems

6 May 2025

Papers citing "Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems"

8 / 8 papers shown

Title
Ensuring User-side Fairness in Dynamic Recommender Systems Hyunsik Yoo Zhichen Zeng Jian Kang Ruizhong Qiu David Zhou Zhining Liu Fei Wang Charlie Xu Eunice Chan Hanghang Tong 58 16 0 29 Aug 2023
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements Noveen Sachdeva Julian McAuley 35 60 0 25 May 2020
Multi-Pointer Co-Attention Networks for Recommendation Yi Tay Anh Tuan Luu S. Hui 3DV 100 289 0 28 Jan 2018
Joint Deep Modeling of Users and Items Using Reviews for Recommendation Lei Zheng Vahid Noroozi Philip S. Yu HAI 106 999 0 17 Jan 2017
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 115 2,048 0 04 Feb 2016
Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam Murat Kocaoglu A. Dimakis S. Vishwanath CML 78 105 0 30 Oct 2015
Image-based Recommendations on Styles and Substitutes Julian McAuley C. Targett Javen Qinfeng Shi Anton Van Den Hengel 105 2,383 0 15 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 576 31,406 0 16 Jan 2013