A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation
Author:
Affiliation:
1. Instituto Federal do Triângulo Mineiro, Uberlândia, Brazil
2. Universidade Federal de Uberlândia, Uberlândia, Brazil
3. Université de Lille & CRIStAL, Lille, France
Funder
CAPES
FAPEMIG
CNPq
CNRS
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3079628.3079681
Reference57 articles.
1. Gediminas Adomavicius and Alexander Tuzhilin. 2011. Context-Aware Recommender Systems. In Recommender Systems Handbook Francesco Ricci Lior Rokach Bracha Shapira and Paul B. Kantor (Eds.). Springer US Boston MA 217--253. Gediminas Adomavicius and Alexander Tuzhilin. 2011. Context-Aware Recommender Systems. In Recommender Systems Handbook Francesco Ricci Lior Rokach Bracha Shapira and Paul B. Kantor (Eds.). Springer US Boston MA 217--253.
2. Twitter-Based Recommender System to Address Cold-Start: A Genetic Algorithm Based Trust Modelling and Probabilistic Sentiment Analysis
3. Cold-Start Item and User Recommendation with Decoupled Completion and Transduction
4. Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach
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