Abstract
The aim of this poster is to investigate the role of emotion in the collaborative filtering task. For this purpose, a kernel-based collaborative recommendation technique is used. The experiment is conducted on two MovieLens data sets. The emotional features are extracted from the movie reviews and plot summaries. The results show that emotional features are capable of enhancing recommendation effectiveness.
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© 2011 Springer-Verlag Berlin Heidelberg
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Moshfeghi, Y., Jose, J.M. (2011). Role of Emotional Features in Collaborative Recommendation. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_83
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DOI: https://doi.org/10.1007/978-3-642-20161-5_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20160-8
Online ISBN: 978-3-642-20161-5
eBook Packages: Computer ScienceComputer Science (R0)