Influence Function for Unbiased Recommendation

Jiangxing Yu
Jiangxing Yu
Hong Zhu
Hong Zhu
Chihyao Chang
Chihyao Chang
Xinhua Feng
Xinhua Feng
Bo-Wen Yuan
Bo-Wen Yuan

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 1929-1932, 2020.

Cited by: 0|Bibtex|Views156|DOI:https://doi.org/10.1145/3397271.3401321
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Recommender system is one of the most successful machine learning technologies for commerce. However, it can reinforce the closed feedback loop problem, where the recommender system generates items to users, then the further recommendation model is trained with the data that users' feedback to the items. Such self-reinforcing pattern can ...More

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