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SQUIRREL: A framework for sequential group recommendations through reinforcement learning.

, , and . Inf. Syst., (2023)

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Ratings vs. Reviews in Recommender Systems: A Case Study on the Amazon Movies Dataset., , , and . ADBIS (Short Papers and Workshops), volume 1064 of Communications in Computer and Information Science, page 68-76. Springer, (2019)Sequential group recommendations based on satisfaction and disagreement scores., , , and . J. Intell. Inf. Syst., 58 (2): 227-254 (2022)SQUIRREL 2.0: Fairness & Explanations for Sequential Group Recommendations., , , and . DOLAP, volume 3653 of CEUR Workshop Proceedings, page 63-67. CEUR-WS.org, (2024)Fairness in Group Recommendations in the Health Domain., , and . ICDE, page 1481-1488. IEEE Computer Society, (2017)Fair Sequential Group Recommendations in SQUIRREL Movies., , , , and . VLDB Workshops, volume 3462 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Why-Not Questions & Explanations for Collaborative Filtering., , and . WISE (2), volume 12343 of Lecture Notes in Computer Science, page 301-315. Springer, (2020)SQUIRREL: A framework for sequential group recommendations through reinforcement learning., , and . Inf. Syst., (2023)The FairGRecs Dataset: A Dataset for Producing Health-related Recommendations., , and . SWH@ISWC, volume 2164 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Multidimensional Group Recommendations in the Health Domain., , and . Algorithms, 13 (3): 54 (2020)FairGRecs: Fair Group Recommendations by Exploiting Personal Health Information., , and . DEXA (2), volume 11030 of Lecture Notes in Computer Science, page 147-155. Springer, (2018)