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In many of today\u2019s applications, however, the only way for users to interact with the system is to inspect the recommended items. Often, no mechanisms are implemented for users to give the system feedback on the recommendations or to explicitly specify preferences, which can limit the potential overall value of the system for its users.<\/jats:p>\n          <jats:p>Academic research in recommender systems is largely focused on algorithmic approaches for item selection and ranking. Nonetheless, over the years a variety of proposals were made on how to design more interactive recommenders. This work provides a comprehensive overview on the existing literature on user interaction aspects in recommender systems. We cover existing approaches for preference elicitation and result presentation, as well as proposals that consider recommendation as an interactive process. Throughout the work, we furthermore discuss examples of real-world systems and outline possible directions for future works.<\/jats:p>","DOI":"10.1145\/3001837","type":"journal-article","created":{"date-parts":[[2017,9,20]],"date-time":"2017-09-20T12:35:19Z","timestamp":1505910919000},"page":"1-46","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":114,"title":["Interacting with Recommenders\u2014Overview and Research Directions"],"prefix":"10.1145","volume":"7","author":[{"given":"Michael","family":"Jugovac","sequence":"first","affiliation":[{"name":"TU Dortmund, Dortmund, Germany"}]},{"given":"Dietmar","family":"Jannach","sequence":"additional","affiliation":[{"name":"TU Dortmund, Dortmund, Germany"}]}],"member":"320","published-online":{"date-parts":[[2017,9,19]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 2nd Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys\u201912)","author":"Adomavicius Gediminas","year":"2012","unstructured":"Gediminas Adomavicius , Jesse C. 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