Study of Personalized Information Filtering System Based on Multi-Agent

Abstract:

The growth of Web information resources leads the phenomenon of information overload and resources disorientation. In order to adapt to the existing recommendation system dynamically changing needs of e-commerce sites, provide users with more proactive, intelligent adaptive personalized product recommendation service, and achieve truly reflect the "information to look for" service model, in this paper, a personalized information filtering system based on multi-agent is presented. The filtering system architecture, agent parts, workflow design are given too. The system will recommend a variety of functional modules in the system can be constructed to take the initiative to customer service and a problem solving environment in self-run entity. This system allows the application of the traditional recommendation system is more malleable, autonomy, and more suitable for the needs of users in a dynamic, uncertain environment to use.

• Periodical: Advanced Materials Research (Volume 267)
• Pages: 913-917
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.267.913
• Online since: June 2011
• Authors: Song Jie Gong
• Keywords: Information Filtering, Information Overload, Multi-Agent System (MAS), Personalized, User Interest Model

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