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Authors: Toon De Pessemier ; Damien Verlee and Luc Martens

Affiliation: Ghent University, Belgium

ISBN: 978-989-758-186-1

Keyword(s): Recommender System, Face Recognition, Face Detection, TV, Emotion Detection.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Recommendation Systems ; Software Agents and Internet Computing

Abstract: Recommender systems have proven their usefulness as a tool to cope with the information overload problem for many online services offering movies, books, or music. Recommender systems rely on identifying individual users and deducing their preferences from the feedback they provide on the content. To automate this user identification and feedback process for TV applications, we propose a solution based on face detection and recognition services. These services output useful information such as an estimation of the age, the gender, and the mood of the person. Demographic characteristics (age and gender) are used to classify the user and cope with the cold start problem. Detected smiles and emotions are used as an automatic feedback mechanism during content consumption. Accurate results are obtained in case of a frontal view of the face. Head poses deviating from a frontal view and suboptimal illumination conditions may hinder face detection and recognition, especially if parts of the f ace, such as eyes or mouth are not sufficiently visible. (More)

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Paper citation in several formats:
De Pessemier, T.; Verlee, D. and Martens, L. (2016). Enhancing Recommender Systems for TV by Face Recognition.In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-186-1, pages 243-250. DOI: 10.5220/0005861302430250

@conference{webist16,
author={Toon De Pessemier. and Damien Verlee. and Luc Martens.},
title={Enhancing Recommender Systems for TV by Face Recognition},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2016},
pages={243-250},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005861302430250},
isbn={978-989-758-186-1},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - Enhancing Recommender Systems for TV by Face Recognition
SN - 978-989-758-186-1
AU - De Pessemier, T.
AU - Verlee, D.
AU - Martens, L.
PY - 2016
SP - 243
EP - 250
DO - 10.5220/0005861302430250

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