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This paper introduces and evaluates a novel interface, MovieTweeters. It is a movie recommendation system which incorporates social information with a traditional recommendation algorithm to generate recommendations for users. Few previous studies have investigated the influence of using social information in interactive
interfaces to improve the novelty of recommendations. To address this gap, we investigate whether social information can be incorporated effectively into an interactive interface to improve recommendation novelty and user satisfaction. Our initial results suggest that such an interactive interface does indeed help users discover
more novel items. Also, we observed users who perceived that they discovered more novel and diverse items reported increased levels
of user satisfaction. Surprisingly, we observed that even though we successfully were able to increase the system diversity of the recommendations, it had a negative correlation with users perception of novelty and diversity of the items highlighting the importance of improved user-centered approaches.

Original languageEnglish
Title of host publicationProceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
EditorsPeter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
PublisherCEUR
Pages24-31
Number of pages8
Publication statusPublished - 2018
EventIntRS 2018: 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems - Vancouver, Canada
Duration: 7 Oct 20187 Oct 2018

Publication series

NameCEUR Workshop Proceedings
Volume2225
ISSN (Print)1613-0073

Workshop

WorkshopIntRS 2018
CountryCanada
CityVancouver
Period7/10/187/10/18

    Research areas

  • Social Recommendation Systems, Novelty, Diversity, User Satisfaction, Interactive User Interfaces

ID: 47509299