Providing explanations for recommendations in reciprocal environments

Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus

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

42 Scopus citations

Abstract

Automated platforms which support users in finding a mutually beneficial match, such as online dating and job recruitment sites, are becoming increasingly popular. These platforms often include recommender systems that assist users in finding a suitable match. While recommender systems which provide explanations for their recommendations have shown many benefits, explanation methods have yet to be adapted and tested in recommending suitable matches. In this paper, we introduce and extensively evaluate the use of “reciprocal explanations” - explanations which provide reasoning as to why both parties are expected to benefit from the match. Through an extensive empirical evaluation, in both simulated and real-world dating platforms with 287 human participants, we find that when the acceptance of a recommendation involves a significant cost (e.g., monetary or emotional), reciprocal explanations outperform standard explanation methods, which consider the recommendation receiver alone. However, contrary to what one may expect, when the cost of accepting a recommendation is negligible, reciprocal explanations are shown to be less effective than the traditional explanation methods.

Original languageEnglish
Title of host publicationRecSys 2018 - 12th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Pages22-30
Number of pages9
ISBN (Electronic)9781450359016
DOIs
StatePublished - 27 Sep 2018
Event12th ACM Conference on Recommender Systems, RecSys 2018 - Vancouver, Canada
Duration: 2 Oct 20187 Oct 2018

Publication series

NameRecSys 2018 - 12th ACM Conference on Recommender Systems

Conference

Conference12th ACM Conference on Recommender Systems, RecSys 2018
Country/TerritoryCanada
CityVancouver
Period2/10/187/10/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.

Keywords

  • Explanations
  • Online-dating Application
  • Reciprocal Recommender Systems

Fingerprint

Dive into the research topics of 'Providing explanations for recommendations in reciprocal environments'. Together they form a unique fingerprint.

Cite this