DocumentCode :
814470
Title :
CinemaScreen recommender agent: combining collaborative and content-based filtering
Author :
Salter, James ; Antonopoulos, Nick
Author_Institution :
Dept. of Comput., Surrey Univ., Guildford, UK
Volume :
21
Issue :
1
fYear :
2006
Firstpage :
35
Lastpage :
41
Abstract :
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.
Keywords :
cinematography; content-based retrieval; electronic commerce; information filtering; information filters; CinemaScreen recommender agent; content-based filtering; e-commerce system; filtered content element; intelligent agent technology; Accuracy; Collaboration; Collaborative work; Databases; Information filtering; Information filters; Intelligent agent; Matched filters; Motion pictures; Recommender systems; decision support; information filtering; intelligent agents; recommender systems;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2006.4
Filename :
1588800
Link To Document :
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