Beyond the ranked list: User-driven exploration and diversification of social recommendation

Chun Hua Tsai, Peter Brusilovsky

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

18 Scopus citations

Abstract

The beyond-relevance objectives of recommender systems have been drawing more and more attention. For example, a diversity-enhanced interface has been shown to associate positively with overall levels of user satisfaction. However, little is known about how users adopt diversity-enhanced interfaces to accomplish various real-world tasks. In this paper, we present two attempts at creating a visual diversity-enhanced interface that presents recommendations beyond a simple ranked list. Our goal was to design a recommender system interface to help users explore the different relevance prospects of recommended items in parallel and to stress their diversity. Two within-subject user studies in the context of social recommendation at academic conferences were conducted to compare our visual interfaces. Results from our user study show that the visual interfaces significantly reduced the exploration efforts required for given tasks and helped users to perceive the recommendation diversity. We show that the users examined a diverse set of recommended items while experiencing an improvement in overall user satisfaction. Also, the users' subjective evaluations show significant improvement in many user-centric metrics. Experiences are discussed that shed light on avenues for future interface designs.

Original languageEnglish (US)
Title of host publicationIUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
Pages239-250
Number of pages12
ISBN (Electronic)9781450349451
DOIs
StatePublished - Mar 5 2018
Event23rd ACM International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan
Duration: Mar 7 2018Mar 11 2018

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference23rd ACM International Conference on Intelligent User Interfaces, IUI 2018
CountryJapan
CityTokyo
Period3/7/183/11/18

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Beyond the ranked list: User-driven exploration and diversification of social recommendation'. Together they form a unique fingerprint.

  • Cite this

    Tsai, C. H., & Brusilovsky, P. (2018). Beyond the ranked list: User-driven exploration and diversification of social recommendation. In IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces (pp. 239-250). (International Conference on Intelligent User Interfaces, Proceedings IUI). Association for Computing Machinery. https://doi.org/10.1145/3172944.3172959