A simple multi-armed nearest-neighbor bandit for interactive recommendation-Reference-Cited by-同舟云学术

A simple multi-armed nearest-neighbor bandit for interactive recommendation

Published:2019-09-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th ACM Conference on Recommender Systems
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Author:

Sanz-Cruzado Javier¹,Castells Pablo¹,López Esther¹

Affiliation:

1. Universidad Autónoma de Madrid

Funder

Ministerio de Ciencia, Innovación y Universidades

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3298689.3347040

Reference23 articles.

1. P. Auer N. Cesa-Bianchi and P. Fischer (2002). Finite-time Analysis of the Multiarmed Bandit Problem. Machine Learning 47 (May 2002) 235--256. 10.1023/A:1013689704352 P. Auer N. Cesa-Bianchi and P. Fischer (2002). Finite-time Analysis of the Multiarmed Bandit Problem. Machine Learning 47 (May 2002) 235--256. 10.1023/A:1013689704352

2. P. Auer N. Cesa-Bianchi Y. Freund and R. E. Schapire (2003). The nonstochastic multiarmed bandit problem. SIAM journal on computing 32 1 (January 2003) 48--77. 10.1137/S0097539701398375 P. Auer N. Cesa-Bianchi Y. Freund and R. E. Schapire (2003). The nonstochastic multiarmed bandit problem. SIAM journal on computing 32 1 (January 2003) 48--77. 10.1137/S0097539701398375

3. A Probabilistic Reformulation of Memory-Based Collaborative Filtering

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