Research of Personalized Intelligent Information Retrieval System Based on Agent

Ying Hong

doi:10.4028/www.scientific.net/AMR.945-949.3406

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Analysis of Development and Research Trends of Aerospace Engineering Based on CiteSpaceII
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Research of Personalized Intelligent Information Retrieval System Based on Agent
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Sentiment Information to Vector, a more Automatic Approach for Sentiment Analysis
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A Conceptual Knowledge-Link Model for Supporting Dental Implant Process
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Agents Software with Ontologies in Expert Systems to Support Dental Prosthesis Design Decisions
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Research of Personalized Intelligent Information...

Research of Personalized Intelligent Information Retrieval System Based on Agent

Abstract:

To efficiently retrieve information from the vast source of the internet, search engines are required. There are some search engines that can help people to search for needed information, but they are difficult to ensure precision rate and personalization of information. To solve these problems, this paper proposed a personalized information retrieval system based on meta-search engine. This paper used multi-agent technology to construct the personalized information retrieval system, adopted user knowledge database to create and update user model and improved vector space model algorithm combining with user knowledge database which used in results ranking. Analysis and experiment show that personalized information retrieval system implemented in this paper can improve the precision ratio and can meet the needs of the user's personality requirements.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3406-3409

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.3406

Citation:

Cite this paper

Online since:

June 2014

Authors:

Ying Hong*

Keywords:

Agent, Information Retrieval, Meta Search Engine, Personalization, Search Engines, VSM

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* - Corresponding Author

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