Towards Reliable Item Sampling for Recommendation Evaluation

Towards Reliable Item Sampling for Recommendation Evaluation

28 November 2022

Jing Gao

Papers citing "Towards Reliable Item Sampling for Recommendation Evaluation"

5 / 5 papers shown

Title
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang Luu Anh Tuan Hang Pan Fuli Feng 54 0 0 07 Sep 2024
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Li Ruoming Jin Bin Ren 23 4 0 13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report) Ruoming Jin Dong Li 29 0 0 13 Dec 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach Dong Li Divya Bhargavi V. Ravipati 23 5 0 06 Sep 2023
A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment Xiaobo Ma A. Cottam Mohammad Razaur Rahman Shaon Yao-Jan Wu 33 7 0 07 Aug 2023