Evaluating a recommendation application for online video content: an interdisciplinary study

Authors:
Katrien De Moor;Toon De Pessemier;Peter Mechant;Cédric Courtois;Adrian Juan;Lieven De Marez;Luc Martens
Affiliations:
MICT-IBBT-Ghent University, Ghent, Belgium;WiCa-IBBT-Ghent University, Ghent, Belgium;MICT-IBBT-Ghent University, Ghent, Belgium;MICT-IBBT-Ghent University, Ghent, Belgium;WiCa-IBBT-Ghent University, Ghent, Belgium;MICT-IBBT-Ghent University, Ghent, Belgium;WiCa-IBBT-Ghent University, Ghent, Belgium
Venue:
Proceedings of the 8th international interactive conference on Interactive TV&Video
Year:
2010

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Abstract

In this paper, we discuss the set-up and results from an interdisciplinary study aimed at evaluating a recommendation application for online video content, called PersonalTV. By involving (possible) users (i.e. a panel of test users), we tried to gather insights that might help to optimize and refine the application. In this respect, implicit and explicit user feedback were complemented. This paper explores the relation between the PersonalTV suggestions (recommended content) and the consumption percentage (objective data) (RQ 1) and between the recommended content and the reported satisfaction (subjective data) (RQ 2) of the test users. We also investigated whether the objective and subjective measures converge (RQ 3) and collected feedback that suggests measures for further improvement and optimization of the application.