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User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience.

, , , , and . Trans. Recomm. Syst., 1 (1): 1-24 (March 2023)

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A contextual approach to improve the user's experience in interactive recommendation systems., , , , and . WebMedia, page 89-96. ACM, (2021)The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains., , , , and . Inf. Syst., (2019)iRec: An Interactive Recommendation Framework., , , , , and . SIGIR, page 3165-3175. ACM, (2022)A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services., , , , , and . WebMedia, page 45-52. ACM, (2019)An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not?, , , , , and . ICCSA (1), volume 12249 of Lecture Notes in Computer Science, page 572-585. Springer, (2020)How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog?, , , , and . ICCS (1), volume 11536 of Lecture Notes in Computer Science, page 323-338. Springer, (2019)User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience., , , , and . Trans. Recomm. Syst., 1 (1): 1-24 (March 2023)Geographic-categorical diversification in POI recommendations., , , , and . WebMedia, page 349-356. ACM, (2019)Characterizing User Behavior and Items in Multimedia Streaming Services., , , and . WebMedia, page 85-88. ACM, (2017)Effective and diverse POI recommendations through complementary diversification models., , , , , and . Expert Syst. Appl., (2021)