Cost-effective identification of on-topic search queries using multi-armed bandits-Reference-Cited by-同舟云学术

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Cost-effective identification of on-topic search queries using multi-armed bandits

Published:2021-03-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th Annual ACM Symposium on Applied Computing
language:
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Author:

Losada David E.¹,Herrmann Matthias²,Elsweiler David²

Affiliation:

1. Universidade de Santiago de Compostela, Spain

2. University of Regensburg, Germany

Funder

Ministerio de Ciencia, Innovación y Universidades

FEDER/Ministerio de Ciencia, Innovación y Universidades ð Agencia Estatal de Investigación

Consellería de Educación, Universidade e Formación Profesional

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3412841.3441944

Reference41 articles.

1. 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. 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.

2. Bias and the limits of pooling for large collections

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