Bandit Algorithms in Interactive Information Retrieval

Author:

Glowacka Dorota1

Affiliation:

1. University of Helsinki, Helsinki, Finland

Publisher

ACM

Reference31 articles.

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5. P. Auer N. Cesa-Bianchi and P. Fischer. 2002. Finite-time analysis of the multi- armed bandit problem. Machine learning 47 2--3 (2002) 235--256. 10.1023/A:1013689704352 P. Auer N. Cesa-Bianchi and P. Fischer. 2002. Finite-time analysis of the multi- armed bandit problem. Machine learning 47 2--3 (2002) 235--256. 10.1023/A:1013689704352

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1. NPROS: A Not So Pure Random Orthogonal search algorithm—A suite of random optimization algorithms driven by reinforcement learning;Optimization Letters;2023-07-11

2. MABSearch: The Bandit Way of Learning the Learning Rate—A Harmony Between Reinforcement Learning and Gradient Descent;National Academy Science Letters;2023-06-04

3. User Recruitment Algorithm for Maximizing Quality under Limited Budget in Mobile Crowdsensing;Discrete Dynamics in Nature and Society;2022-01-20

4. Reinforcement Learning for Information Retrieval;Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval;2021-07-11

5. Interactive Information Retrieval: Models, Algorithms, and Evaluation;Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval;2021-07-11

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