A Personalized Intelligent Recommender System Based on Agent Technology

Wen Juan Lian; Jian Li Zhao; Yu Jun Li

doi:10.4028/www.scientific.net/AMM.427-429.2368

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429A Personalized Intelligent Recommender System...

A Personalized Intelligent Recommender System Based on Agent Technology

Abstract:

The paper introduces a personalized intelligent recommender system. The system characters include: (1) integrating Agent technology to improve the recommender system reactivity, proactivity and autonomy; (2) giving a mixed recommendation method with content-based recommendation; (3) proposing the personalized user model, which can describe long-term interests and short-term interests, effectively deal with the user interests drift problem.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

2368-2372

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.2368

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Online since:

September 2013

Authors:

Wen Juan Lian*, Jian Li Zhao, Yu Jun Li

Keywords:

Agent Technology, Content-Based Recommendation, Personalized Intelligent Recommender System, User Mode

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* - Corresponding Author

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