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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)
DOI: 10.1007/s11257-017-9194-1

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Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen., and . HMD Prax. Wirtsch., (2013)subsequently labeled as volume 50 number 5 by Springer.Offline performance vs. subjective quality experience: a case study in video game recommendation., and . SAC, page 1649-1654. ACM, (2017)Implizites Feedback in Empfehlungssystemen.. Ausgezeichnete Informatikdissertationen, volume D-17 of LNI, GI, (2016)Adaptation and Evaluation of Recommendations for Short-term Shopping Goals., , and . RecSys, page 211-218. ACM, (2015)Supporting the Design of Machine Learning Workflows with a Recommendation System., , and . ACM Trans. Interact. Intell. Syst., 6 (1): 8:1-8:35 (2016)Item Familiarity Effects in User-Centric Evaluations of Recommender Systems., , and . RecSys Posters, volume 1441 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)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)Recommending Based on Implicit Feedback., , and . Social Information Access, volume 10100 of Lecture Notes in Computer Science, Springer, (2018)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)