Interactive Recommender System: Causality-based Popularity Bias and Popularity Drift-Reference-Cited by-同舟云学术

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Interactive Recommender System: Causality-based Popularity Bias and Popularity Drift

Published:2024-05-24 Issue: Volume: Page:363-368
ISSN:
Container-title:2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI)
language:
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Author:

Ye Rongtao¹,Chan Wai Kin Victor¹,Ye Yun²,Zhang Kai³,Miao Yuqing¹

Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,P.R. China,518055

2. Ant Group

3. Institute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,P.R. China,518055

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602770/10602802/10602873.pdf?arnumber=10602873

Reference23 articles.

1. Evaluating Recommendation Systems

2. EDMF: Efficient Deep Matrix Factorization with Review Feature Learning for Industrial Recommender System

3. Anatomy of the long tail

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