A Survey of Explanations in Recommender Systems

Nava Tintarev, Judith Masthoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

232 Citations (Scopus)

Abstract

This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing measures can be used to evaluate the quality of explanations.
Since explanations are not independent of the recommendation process, we consider how the ways recommendations are presented may affect explanations. Next, we look at different ways of interacting with explanations. The paper is illustrated with examples of explanations throughout, where possible from existing applications.
Original languageEnglish
Title of host publicationData Engineering Workshop
Subtitle of host publication3rd International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces (WPRSIUI'07)
EditorsG. Uchyigit
Place of PublicationLos Alamitos, CA, USA
PublisherIEEE Computer Society
Pages801-810
Number of pages10
ISBN (Print)9781424408320
DOIs
Publication statusPublished - 10 Dec 2007
EventIEEE 23rd International Conference on Data Engineering (ICDE 2007) - Istanbul, Turkey
Duration: 16 Apr 200720 Apr 2007

Conference

ConferenceIEEE 23rd International Conference on Data Engineering (ICDE 2007)
CountryTurkey
CityIstanbul
Period16/04/0720/04/07

Keywords

  • recommender systems
  • explanations

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  • Cite this

    Tintarev, N., & Masthoff, J. (2007). A Survey of Explanations in Recommender Systems. In G. Uchyigit (Ed.), Data Engineering Workshop: 3rd International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces (WPRSIUI'07) (pp. 801-810). IEEE Computer Society. https://doi.org/10.1109/ICDEW.2007.4401070