Addressing Confounding Feature Issue for Causal Recommendation

In recommender systems, some features directly affect whether an interaction would happen, making the happened interactions not necessarily indicate user preference. For instance, short videos are objectively easier to finish even though the user may not like the video. We term such feature as confo...

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Veröffentlicht in:	ACM transactions on information systems 2023-02, Vol.41 (3), p.1-23, Article 53
Hauptverfasser:	He, Xiangnan, Zhang, Yang, Feng, Fuli, Song, Chonggang, Yi, Lingling, Ling, Guohui, Zhang, Yongdong
Format:	Artikel
Sprache:	eng
Schlagworte:	Computing methodologies Information systems Machine learning approaches Recommender systems
Online-Zugang:	Volltext
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