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

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


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.
Original languageEnglish
Title of host publicationRecSys 2021 - 15th ACM Conference on Recommender Systems
Place of PublicationNew York, NY, USA
PublisherAssociation of Computing Machinery
Number of pages6
ISBN (Electronic)9781450384582
ISBN (Print)9781450384582
Publication statusPublished - 13 Sept 2021
Event15th ACM Conference on Recommender Systems: RECSYS 2021 - Amsterdam, Netherlands
Duration: 27 Sept 20211 Oct 2021


Conference15th ACM Conference on Recommender Systems
Abbreviated titleRECSYS 2021


  • Content-based Explanation
  • Demographic-based Explanation
  • Explanations
  • Feature-based Explanation
  • Knowledge-based Explanation.
  • Movie Recommender Systems
  • Collaborative Filtering-based Explanation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture
  • Computer Networks and Communications

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