ABSTRACT
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Supplemental Material
- Rocío Cañamares, Marcos Redondo, and Pablo Castells. 2019. Multi-armed recommender system bandit ensembles. https://doi.org/10.1145/3298689.3346984Google ScholarDigital Library
- Benjamin Charles, Germain Lee, Kyle Lo, Doug Downey, and Daniel S. Weld. 2020. Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. https://arxiv.org/abs/2003.0431Google Scholar
- Kristian Gingstad, Øyvind Jekteberg, and Krisztian Balog. 2020. ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation. https://arxiv.org/abs/2009.11576Google ScholarDigital Library
- Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brandão, Anderson Soares, Renan M. Oliveira, and Sandor Caetano. 2020. Contextual Meta-Bandit for Recommender Systems Selection. https://doi.org/10.1145/3383313.3412209Google ScholarDigital Library
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