Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

Autor:	Alexander Felfernig, Viet Man Le, Muesluem Atas, Andrei Popescu, Martin Stettinger, Thi Ngoc Trang Tran
Rok vydání:	2021
Předmět:	World Wide Web Interdependence Computer science media_common.quotation_subject Recommender system Affect (psychology) GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) Inclusion (education) media_common Domain (software engineering)
Zdroj:	RecSys
DOI:	10.1145/3460231.3478859
Popis:	In this paper, we provide insights into users’ needs regarding the inclusion of explanations in a movie recommender system. We have developed different variants of a movie recommender system prototype corresponding to different types of explanations and conducted an online user study to evaluate related explanations. The experimental results show that users do not always appreciate explanations. They want to see explanations when they are not satisfied with the recommended items. They expect to see explanations showing how well the recommended item meets their preferences. Moreover, explanation goals are interdependent and affect the overall satisfaction of users with the recommender system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5fe49e99aa96568d7b91efee0eba21d1 https://doi.org/10.1145/3460231.3478859 Zobrazit plný text záznamu