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Interacting with Recommenders&\#x02014;Overview and Research Directions

, and . ACM Trans. Interact. Intell. Syst., 7 (3): 10:1--10:46 (September 2017)
DOI: 10.1145/3001837

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Adaptive Recommendation-based Modeling Support for Data Analysis Workflows., , and . IUI, page 252-262. ACM, (2015)User Control in Recommender Systems: Overview and Interaction Challenges, , and . E-Commerce and Web Technologies, page 21--33. Cham, Springer International Publishing, (2017)Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations., , and . UMAP, page 279-283. ACM, (2018)Explanations and User Control in Recommender Systems., , and . ABIS@HT, page 31. ACM, (2019)Interacting with Recommenders - Overview and Research Directions., and . ACM Trans. Interact. Intell. Syst., 7 (3): 10:1-10:46 (2017)Designing and evaluating recommender systems with the user in the loop.. Technical University of Dortmund, Germany, (2019)Interacting with Recommenders—Overview and Research Directions, and . ACM Transactions on Interactive Intelligent Systems, 7 (3): 1--46 (October 2017)Efficient optimization of multiple recommendation quality factors according to individual user tendencies., , and . Expert Syst. Appl., (2017)Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation., , and . i-com, 14 (1): 29-39 (2015)Interacting with Recommender Systems., , and . IUI Companion, page 25-27. ACM, (2017)