Time dependency in TV viewer clustering

Mengxi Xu, Shlomo Berkovsky, Irena Koprinska, Sebastien Ardon, Kalina Yacef

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

2 Citations (Scopus)

Abstract

Web-based catch-up TV services allow users to watch programs at their favoured time and device and are revolutionizing the existing TV watching habits. With the increasing offer and demand for catch-up TV, it has become evident that there is a need for personalised recommendations that will help users to pick programs of interest from a large collection of available content. In order to mitigate the cold start problem, a catch-up TV recommender needs to exploit information pertaining to the watching patterns and stereotypical behaviour of users. This paper presents an exploratory study into the watching patterns and stability of the identified stereotypical user behavior using a
large-scale dataset gathered by an Australian catch-up TV services provider.
Using clustering, we were able to identify eight distinct and meaningful behaviour stereotypes. We further analysed these clusters and found that clusters with highly dominant watching patterns stabilise sooner and can be identified more accurately than others. Our work provides a solid foundation for developing future catch-up TV recommender systems.
Original languageEnglish
Title of host publicationWorkshop and Poster Proceedings of UMAP 2012
Subtitle of host publicationWorkshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization
EditorsEelco Herder, Kalina Yacef, Li Chen, Stephan Weibelzahl
PublisherCEUR Workshop Proceedings
Number of pages10
Volume872
Publication statusPublished - 2012
Externally publishedYes
Event20th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2012 - Montreal, Canada
Duration: 16 Jul 201220 Jul 2012

Conference

Conference20th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2012
CountryCanada
CityMontreal
Period16/07/1220/07/12

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