Using Exploration to Alleviate Closed Loop Effects in Recommender Systems

Amir H. Jadidinejad
Amir H. Jadidinejad

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 2025-2028, 2020.

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Abstract:

Recommendation systems are often trained and evaluated based on users' interactions obtained through the use of an existing, already deployed, recommendation system. Hence the deployed recommendation systems will recommend some items and not others, and items will have varying levels of exposure to users. As a result, the collected feedba...More

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