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Development of Information Agent Reranking By using Weights Measurement
Aliaa A.Youssif, Ashraf A. Darwish, Ahmed Roshdy
Pages - 256 - 264     |    Revised - 30-04-2010     |    Published - 10-06-2010
Volume - 4   Issue - 2    |    Publication Date - May 2010  Table of Contents
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KEYWORDS
Information Agent, Knowledge-base, Weights, Re-ranking
ABSTRACT
Web search is one of the most challenging problems of the Internet today, seeking to provide users with search results most relevant to their information needs. The new improvements of search engines technologies have made available to the internet users an enormous amount of knowledge that can be accessed in many different ways. However, there are some problems that face the search engines. In this paper proposes an agent system which parses information sources and extract weights that determine the powerful of relevant information sources and prove that the word positions scores may affect on reduction the relevance of those information sources. Moreover, it will show that the user profile plays an important role in effectiveness of re-ranking and updating ranking relevant web pages where agent learns user behavior by observing user browsing for the interested result pages. In experimental work section shows how weights algorithm gets more relevant web pages than other algorithms that use word position which may reduce the value of relevance of web pages.
CITED BY (3)  
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Mr. Aliaa A.Youssif
- Egypt
aliaay@helwan.edu.eg@address.com
Mr. Ashraf A. Darwish
- Egypt
Mr. Ahmed Roshdy
- Egypt