Moshfeghi, Y. and Jose, J.M. (2011) Role of emotional features in collaborative recommendation. Lecture Notes in Computer Science, 6611, pp. 738-742. (doi: 10.1007/978-3-642-20161-5_83)
Full text not currently available from Enlighten.
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.
| Item Type: | Articles |
|---|---|
| Additional Information: | Presented at 33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, 18-21 April, 2011. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jose, Professor Joemon |
| Authors: | Moshfeghi, Y., and Jose, J.M. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| College/School: | College of Science and Engineering > School of Computing Science |
| Journal Name: | Lecture Notes in Computer Science |
| ISSN: | 0302-9743 |
| ISSN (Online): | 1611-3349 |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric