Title :
CinemaScreen recommender agent: combining collaborative and content-based filtering
Author :
Salter, James ; Antonopoulos, Nick
Author_Institution :
Dept. of Comput., Surrey Univ., Guildford, UK
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;
Journal_Title :
Intelligent Systems, IEEE