Improving the user experience during cold start through choice-based preference elicitation.

M.P. Graus, M.C. Willemsen

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

42 Citations (Scopus)
2 Downloads (Pure)

Abstract

We studied an alternative choice-based interface for preference elicitation during the cold start phase and compared it directly with a standard rating-based interface. In this alternative interface users started from a diverse set covering all movies and iteratively narrowed down through a matrix factorization latent feature space to smaller sets of items based on their choices. The results show that compared to a rating-based interface, the choice-based interface requires less effort and results in more satisfying recommendations, showing that it might be a promising candidate for alleviating the cold start problem of new users.
Original languageEnglish
Title of host publicationProceedings of the 9th ACM Conference on Recommender Systems, 16-20 September 2015, Vienna, Austria
EditorsH. Werthner, M. Zanker, J. Golbeck, G. Semeraro
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages273-276
ISBN (Print)978-1-4503-3692-5
DOIs
Publication statusPublished - 2015
Event9th ACM Conference on Recommender Systems (RecSys 2015)
- Vienna, Austria
Duration: 16 Sept 201520 Sept 2015
Conference number: 9
https://recsys.acm.org/recsys15

Conference

Conference9th ACM Conference on Recommender Systems (RecSys 2015)
Abbreviated titleRecSys 2015
Country/TerritoryAustria
CityVienna
Period16/09/1520/09/15
Other
Internet address

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