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Adaptive Recommendation-based Modeling Support for Data Analysis Workflows.

, , and . IUI, page 252-262. ACM, (2015)

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On the Value of Reminders Within E-Commerce Recommendations, , and . Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, page 27--35. New York, NY, USA, ACM, (2016)Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation., , and . i-com, 14 (1): 29-39 (2015)Implizites Feedback in Empfehlungssystemen.. Ausgezeichnete Informatikdissertationen, volume D-17 of LNI, GI, (2016)Offline performance vs. subjective quality experience: a case study in video game recommendation., and . SAC, page 1649-1654. ACM, (2017)Adaptation and Evaluation of Recommendations for Short-term Shopping Goals., , and . RecSys, page 211-218. ACM, (2015)Item Familiarity Effects in User-Centric Evaluations of Recommender Systems., , and . RecSys Posters, volume 1441 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Session-based Item Recommendation in E-commerce: on Short-term Intents, Reminders, Trends and Discounts, , and . User Modeling and User-Adapted Interaction (UMUAI), 27 (3): 351--392 (Dec 1, 2017)Adaptive Recommendation-based Modeling Support for Data Analysis Workflows., , and . IUI, page 252-262. ACM, (2015)Using graded implicit feedback for bayesian personalized ranking., and . RecSys, page 353-356. ACM, (2014)