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User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics.

, , , , and . UMAP, page 54-65. ACM, (2023)

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Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver., , , and . ConfWS, volume 3509 of CEUR Workshop Proceedings, page 45-50. CEUR-WS.org, (2023)INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems., , , and . AAAI, page 10616-10623. AAAI Press, (2024)An overview of consensus models for group decision-making and group recommender systems., , and . User Model. User Adapt. Interact., 34 (3): 489-547 (July 2024)Group Recommendation Techniques for Feature Modeling and Configuration.. ICSE (Companion Volume), page 266-268. IEEE, (2021)WipeOutR: automated redundancy detection for feature models., , , , and . SPLC (A), page 164-169. ACM, (2022)User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics., , , , and . UMAP, page 54-65. ACM, (2023)Towards Social Choice-based Explanations in Group Recommender Systems., , , , , and . UMAP, page 13-21. ACM, (2019)User Interfaces for Counteracting Decision Manipulation in Group Recommender Systems., , , , , and . UMAP (Adjunct Publication), page 93-98. ACM, (2019)Sports recommender systems: overview and research directions., , , , , and . J. Intell. Inf. Syst., 62 (4): 1125-1164 (August 2024)An overview of machine learning techniques in constraint solving., , , , , , , , and . J. Intell. Inf. Syst., 58 (1): 91-118 (2022)