Design of Personalized Intelligent Information Retrieval Model Based on Agent

Abstract:

The features of vast distributed dynamic information on Web caused the problem of “overload” and “mislead” while query. Intelligent agent is a way to solve it. After considering the problems of users’ personal interests during the information retrieve adequately, the paper proposes an intelligent information retrieval model based-on Agent. This system integrated domain knowledge and used many arithmetic of learning user’s interest. Each Agent co-operates to finish information retrieval task, manifest the characteristics of intellectualization and individuality of in information retrieval. It is a good way to realize the highly effective intelligent retrieval system research.

• Periodical: Applied Mechanics and Materials (Volumes 155-156)
• Pages: 1175-1179
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.155-156.1175
• Online since: February 2012
• Authors: Zhong Biao Sheng, Hua Ping Jia, Xiao Rong Tong
• Keywords: Intelligent Agent, Intelligent Information Retrieval, Interest Model, Personalization

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