Countering contextual bias in TV watching behavior: introducing social trend as external contextual factor in TV recommenders

Yuan, J., Lorenz, F., Lommatzsch, A., Mu, M., Race, N., Hopfgartner, F. and Albayrak, S. (2017) Countering contextual bias in TV watching behavior: introducing social trend as external contextual factor in TV recommenders. In: ACM International Conference on Interactive Experiences for Television and Online Video (ACM TVX). The Netherlands: ACM. (Accepted)

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Item Type:	Conference Proceedings
Abstract:	Context-awareness has become a critical factor to improve the prediction of user interest in modern online TV recommendation systems. In addition to individual user preferences, existing context-aware approaches like tensor factorization incorporate system-level contextual bias to increase predicting accuracy. We analyzed a user interaction dataset from a WebTV platform and found that such contextual bias creates a skewed selection of recommended programs which ultimately limits users in a filter bubble. To address this issue, we introduce the Twitter social stream as an external contextual factor to extend the choice with items related to social media events. We apply two trend indicators, Trend Momentum and SigniScore, to the Twitter histories of relevant programs. The evaluation reveals that Trend Momentum outperforms SigniScore and signalizes 96% of all peaks ahead of time regarding the selected candidate program titles.
Uncontrolled Keywords:	Privacy reserving recommender, video on demand, user experience, context-aware applications, event detection
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunication
Creators:	Yuan, Jing, Lorenz, Felix, Lommatzsch, Andreas, Mu, Mu, Race, Nicholas, Hopfgartner, Frank and Albayrak, Sahin
Publisher:	ACM
Faculties, Divisions and Institutes:	University Faculties, Divisions and Research Centres - OLD > Research Group > Advanced Technologies Research Group Faculties > Faculty of Arts, Science & Technology > Computing
Date:	24 March 2017
Date Type:	Acceptance
Title of Book:	ACM International Conference on Interactive Experiences for Television and Online Video (ACM TVX)
Event Title:	ACM International Conference on Interactive Experiences for Television and Online Video (ACM TVX 2017)
Event Dates:	14-16 June 2017
Place of Publication:	The Netherlands
Event Location:	Hilversum, The Netherlands
Event Type:	Conference
Language:	English
Status:	Accepted
Related URLs:	Conference
URI:	http://nectar.northampton.ac.uk/id/eprint/9388

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