Bias and Debias in Recommender System: A Survey and Future Directions

While recent years have witnessed a rapid growth of research papers on recommender system (RS), most of the papers focus on inventing machine learning models to better fit user behavior data. However, user behavior data is observational rather than experimental. This makes various biases widely exis...

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Bibliographic Details
Main Authors: Chen, J. (Author), Dong, H. (Author), Feng, F. (Author), He, X. (Author), Wang, M. (Author), Wang, X. (Author)
Format: Article
Language:English
Published: Association for Computing Machinery 2023
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