A large-scale exploration of group viewing patterns

Allison J.B. Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

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

Abstract

We present a large-scale study of television viewing habits, focusing on how individuals adapt their preferences when consuming content with others. While there has been a great deal of research on modeling individual preferences, there has been considerably less work studying the preferences of groups, due mostly to the difficulty of collecting group data. In contrast to most past work that has relied either on smallscale surveys, prototypes, or a relatively limited amount of group preference data, we explore more than 4 million logged household views paired with individual-level demographic and co-viewing information. Our analysis reveals how engagement in group viewing varies by viewer and content type, and how viewing patterns shift across various group contexts. Furthermore, we leverage this large-scale dataset to directly estimate how individual preferences are combined in group settings, finding subtle deviations from traditional models of preference aggregation. We present a simple model which captures these effects and discuss the impact of these findings on the design of group recommendation systems.

Original languageEnglish
Title of host publicationTVX 2014 - Proceedings of the 2014 ACM International Conference on Interactive Experiences for TV and Online Video
PublisherAssociation for Computing Machinery
Pages31-38
Number of pages8
ISBN (Print)9781450328388
DOIs
StatePublished - 2014
Event2014 ACM International Conference on Interactive Experiences for TV and Online Video, TVX 2014 - Newcastle Upon Tyne, United Kingdom
Duration: 25 Jun 201427 Jun 2014

Publication series

NameTVX 2014 - Proceedings of the 2014 ACM International Conference on Interactive Experiences for TV and Online Video

Conference

Conference2014 ACM International Conference on Interactive Experiences for TV and Online Video, TVX 2014
Country/TerritoryUnited Kingdom
CityNewcastle Upon Tyne
Period25/06/1427/06/14

Keywords

  • Group recommendation
  • Group viewing patterns

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