Mitigating Frequency Bias in Next-Basket Recommendation via
Deconfounders

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders

16 November 2022

Philip Yu

Kannan Achan

Papers citing "Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders"

6 / 6 papers shown

Title
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations Luyi Ma Xiaohan Li Zezhong Fan Kai Zhao Jianpeng Xu Praveen Kanumala Kaushiki Nag Sushant Kumar Sushant Kumar Kannan Achan 51 5 0 16 Oct 2024
Mitigating Health Disparities in EHR via Deconfounder Zheng Liu Xiaohan Li Philip Yu CML 55 8 0 28 Oct 2022
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 104 230 0 21 Apr 2021
Dynamic Graph Collaborative Filtering Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu 105 70 0 08 Jan 2021
A General Framework for Counterfactual Learning-to-Rank Aman Agarwal Kenta Takatsu Ivan Zaitsev Thorsten Joachims CML 24 15 0 30 Apr 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 314 0 30 Oct 2017