Integrating facial expressions into user profiling for the improvement of a multimodal recommender system

Arapakis, I., Moshfeghi, Y., Joho, H., Ren, R., Hannah, D. and Jose, J. (2009) Integrating facial expressions into user profiling for the improvement of a multimodal recommender system. In: IEEE International Conference on Multimedia and Expo, 2009. ICME 2009, New York, NY , U.S.A., 28 Jun - 3 Jul 2009, pp. 1440-1443. ISBN 9781424442904 (doi:10.1109/ICME.2009.5202773)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1109/ICME.2009.5202773

Abstract

Over the years, recommender systems have been systematically applied in both industry and academia to assist users in dealing with information overload. One of the factors that determine the performance of a recommender system is user feedback, which has been traditionally communicated through the application of explicit and implicit feedback techniques. In this paper, we propose a novel video search interface that predicts the topical relevance of a video by analysing affective aspects of user behaviour. We, furthermore, present a method for incorporating such affective features into user profiling, to facilitate the generation of meaningful recommendations, of unseen videos. Our experiment shows that multimodal interaction feature is a promising way to improve the performance of recommendation.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Ren, Dr R and Hannah, Mr David and Joho, Dr Hideo and Moshfeghi, Dr Yashar and Arapakis, Mr Ioannis
Authors: Arapakis, I., Moshfeghi, Y., Joho, H., Ren, R., Hannah, D., and Jose, J.
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781424442904

University Staff: Request a correction | Enlighten Editors: Update this record