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CinemaScreen recommender agent: combining collaborative and content-based filtering

Salter, James and Antonopoulos, Nick (2006) CinemaScreen recommender agent: combining collaborative and content-based filtering IEEE Intelligent Systems, 21 (1). pp. 35-41.


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A film recommender agent expands and fine-tunes collaborative-filtering results according to filtered content elements - namely, actors, directors, and genres. This approach supports recommendations for newly released, previously unrated titles. Directing users to relevant content is increasingly important in today's society with its ever-growing information mass. To this end, recommender systems have become a significant component of e-commerce systems and an interesting application domain for intelligent agent technology.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computer Science
Authors :
Salter, James
Date : 6 February 2006
DOI : 10.1109/MIS.2006.4
Additional Information : In <i>IEEE Intelligent Systems</i>, <i>21</I> pp. 35- 41.<b>&amp;copy; 2006 IEEE Computer Society. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.</b>
Depositing User : Mr Adam Field
Date Deposited : 27 May 2010 14:46
Last Modified : 06 Jul 2019 05:07

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