Presentation 2004-07-29
Design of Web Search Engine using Recommendation Links created from Similarity among Web Page
Hirokazu ARATANI, Shigeru FUJITA, Kenji SUGAWARA,
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Abstract(in English) In recent years, link-based ranking methods of web pages have been developped in order to improve the quality of searching function. However , well-known web pages have the advantage in ranking with this ranking method which calculates the ranking without semantic relationships among web page. In this paper, we propose a recommendation link which is a virtual hyper link defined by a recommendation value calculated by similarity of web pages. To evaluate the recommendation link, we implemented a retrieval system which calculates a ranking according to the PageRank algorithm with recommendation link. As a result of this experiment, we found that our retrieval system gave high recommendation value to web pages including importance information for searcher in spite of low position of retrieval list of Google.
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Paper # AI2004-13
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Committee AI
Conference Date 2004/7/22(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Design of Web Search Engine using Recommendation Links created from Similarity among Web Page
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1st Author's Name Hirokazu ARATANI
1st Author's Affiliation Chiba Institute Of Technology.Dpt.,of Computer Science()
2nd Author's Name Shigeru FUJITA
2nd Author's Affiliation Chiba Institute Of Technology.Dpt.,of Computer Science
3rd Author's Name Kenji SUGAWARA
3rd Author's Affiliation Chiba Institute Of Technology,Dpt.,of Computer Network
Date 2004-07-29
Paper # AI2004-13
Volume (vol) vol.104
Number (no) 233
Page pp.pp.-
#Pages 6
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