An intelligent knowledge-based recommendation system

Authors:
Xiaowei Shi
Affiliations:
Philips Shanghai R&D Centre, P.R.C.
Venue:
Intelligent information processing II
Year:
2004

Citing 2
Cited 1

Information filtering and information retrieval: two sides of the same coin?

Communications of the ACM - Special issue on information filtering
Personalized information delivery: an analysis of information filtering methods

Communications of the ACM - Special issue on information filtering

Using Support Vector Machines for feature-oriented profile-based recommendations

International Journal of Advanced Intelligence Paradigms

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Abstract

An intelligent knowledge-based recommendation system for multiple users in TV-Anytime environment is developed. The architecture of the multi-agent recommendation system is described. KQC (Keyword-query combination) user profile is proposed for information modeling. The priority filtering agent operates according to the similarity between the program and the KQC user profile. This knowledge-based recommendation system can provide personalized content to users based on their preferences more efficiently and more concisely.