47 citations · 187 across the 32 of their papers we have counts for
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cs.IR2022★ 47 cited
Comprehensive Fair Meta-learned Recommender System
Tianxin Wei, Jingrui He
In recommender systems, one common challenge is the cold-start problem, where interactions are very limited for fresh users in the systems. To address this challenge, recently, man…
cs.IR2021★ 10 cited
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems
Yao Zhou, Haonan Wang, Jingrui He +1
With the prevalence of deep learning based embedding approaches, recommender systems have become a proven and indispensable tool in various information filtering applications. Howe…
cs.IR2020★ 5 cited
GAN-based Recommendation with Positive-Unlabeled Sampling
Yao Zhou, Jianpeng Xu, Jun Wu +4
Recommender systems are popular tools for information retrieval tasks on a large variety of web applications and personalized products. In this work, we propose a Generative Advers…