MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces

Taavi T. Taijala, Martijn C. Willemsen, Joseph A Konstan

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

3 Scopus citations

Abstract

This 1 paper introduces and evaluates MovieExplorer, an interactive exploration tool designed to use the data available in a traditional ratings-based recommender system to provide an interactive interface more suited to user exploration and fulfillment of short-term recommendation needs. A field deployment with 1,950 users showed that users found the tool useful for a variety of exploration and short-term recommendation tasks, even preferring it to existing interfaces for several tasks. Experimentation with several design features found that the actual user navigation algorithms were significant (user satisfaction was lower for algorithms with faked controls) and that offering positive and negative feedback options led to increased feedback and user retention.

Original languageEnglish (US)
Title of host publicationProceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018
PublisherAssociation for Computing Machinery
Pages1383-1392
Number of pages10
ISBN (Electronic)9781450351911
DOIs
StatePublished - Apr 9 2018
Event33rd Annual ACM Symposium on Applied Computing, SAC 2018 - Pau, France
Duration: Apr 9 2018Apr 13 2018

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Other

Other33rd Annual ACM Symposium on Applied Computing, SAC 2018
CountryFrance
CityPau
Period4/9/184/13/18

Bibliographical note

Funding Information:
We would like to thank F. Maxwell Harper and Qian Zhao for their help with the implementation of the MovieExplorer system and algorithm. This material is based upon work supported by a National Science Foundation Graduate Research Fellowship under Grant No. 00039202.

Publisher Copyright:
© 2018 ACM.

Keywords

  • Information exploration tools
  • Interactive recommendation

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