Paper Title:
Research on the Application of Agent in Personalized Information Recommendation System
  Abstract

In daily life, we rely on other people's suggestions or by word of mouth or recommendation letters and book reviews printed in newspapers and general surveys, such as restaurant guides. However, the Internet's explosive growth has brought us information that anyone can be greatly difficult to digest. To cope with the flood of information, the personalized recommendation systems have been established to assist and complement the natural social process. These systems recommend users to select information that users may be interested in and filter out which users may not be interested. In order to alleviate the information overload problem, the author researches on the application of agent in personalized information recommendation system. The system collects user information of interest through the agent systems and queries the resources to filter and remove information that users do not need. It can provide users with intelligent and active information services.

  Info
Periodical
Advanced Materials Research (Volumes 271-273)
Edited by
Junqiao Xiong
Pages
853-856
DOI
10.4028/www.scientific.net/AMR.271-273.853
Citation
D. E. Chen, "Research on the Application of Agent in Personalized Information Recommendation System", Advanced Materials Research, Vols. 271-273, pp. 853-856, 2011
Online since
July 2011
Authors
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Price
$32.00
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