Using latent features diversification to reduce choice difficulty in recommendation lists

Martijn C. Willemsen, Bart P. Knijnenburg, Mark P. Graus, Linda C.M. Velter-Bremmers, Kai Fu

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

10 Citations (Scopus)
155 Downloads (Pure)

Abstract

Ail important side effect of using recoinmender systems is a phenomenon called "choice overload"; the negative feeling incurred by the increased difficulty to choose from large sets of high quality recommendations. Choice overload has traditionally been related to the size of the item set, but recent work suggests that the diversity of the item set is an important moderator. Using the latent feanires of a matrix factorization algorithm, we were able to manipulate the diversity of the items, while controlling the overall attractiveness of the list of recommendations. In a user study, participants evaluated personalized item lists (varying in level of diversity) on perceived diversity and attractiveness, and their experienced choice difficulty and tradeoff difficulty. The results suggest that diversifying the recommendations might be an effective way to reduce choice overload, as perceived diversity and attractiveness increase with item set diversity, subsequently resulting in participants experiencing less tradeoff difficulty and choice difficulty.

Original languageEnglish
Title of host publicationThe RecSys 2011 Workshops - Decisions@RecSys 2011 and UCERSTI-2
EditorsAlexander Felfernig, Li Chen, Monika Mandl, Martijn Willemsen, Dirk Bollen, Michael Ekstrand
PublisherCEUR-WS.org
Pages14-20
Number of pages7
Publication statusPublished - 1 Dec 2011
EventJoint Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys 2011) and User-Centric Evaluation of Recommender Systems and Their Interfaces-2 (UCERSTI 2001) - Chicago, IL, United States
Duration: 23 Oct 201126 Oct 2011

Publication series

NameCEUR Workshop Proceedings
Volume811
ISSN (Print)1613-0073

Conference

ConferenceJoint Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys 2011) and User-Centric Evaluation of Recommender Systems and Their Interfaces-2 (UCERSTI 2001)
CountryUnited States
CityChicago, IL
Period23/10/1126/10/11
OtherAffiliated with the 5th ACM Conference on Recommender Systems, RecSys 2011

Keywords

  • Choice overload
  • Diversification
  • User-centric evaluation

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