Advances and challenges in conversational recommender systems: A survey-Reference-Cited by-同舟云学术

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Advances and challenges in conversational recommender systems: A survey

Published:2021 Issue: Volume:2 Page:100-126
ISSN:2666-6510
Container-title:AI Open
language:en
Short-container-title:AI Open

Author:

Gao Chongming^ORCID,Lei Wenqiang,He Xiangnan,de Rijke Maarten^ORCID,Chua Tat-Seng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference276 articles.

1. Multi-sided exposure bias in recommendation;Abdollahpouri,2020

2. Reinforcement Learning Based Recommender Systems: A Survey;Afsar,2021

3. Using confidence bounds for exploitation-exploration trade-offs;Auer;J. Mach. Learn. Res.,2002

4. Finite-time analysis of the multiarmed bandit problem;Auer;Mach. Learn.,2002

5. Model-based reinforcement learning with adversarial training for online recommendation;Bai,2019

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