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.
Cite
CITATION STYLE
Moshfeghi, Y., & Jose, J. M. (2011). Role of emotional features in collaborative recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6611 LNCS, pp. 738–742). Springer Verlag. https://doi.org/10.1007/978-3-642-20161-5_83
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