DocumentCode :
476397
Title :
A New Retrieval Ranking Method based on Document Retrieval Expected Value in Chinese Document
Author :
Wang, Hanhu ; Jiang, Yan ; Chen, Mei ; Wang, Tao
Author_Institution :
Lab. of database Guizhou Univ, Guizhou
fYear :
2008
fDate :
Aug. 29 2008-Sept. 2 2008
Firstpage :
367
Lastpage :
371
Abstract :
Through the analysis of the information on the contents of the document which contained in title, abstract and keywords, find out which documents are more relativity with user\´s retrieval expectation, this paper adopted "document retrieval expected value" as be the indicator, builds the mathematical model for it, and then takes advantage of it to do the quantitative calculation for all documents retrieved from the document retrieval engines, such as Weipu, CNKI, etc, finally, sorts all the document retrieval expected values with the descending sorting algorithm, more accurate documents will be displayed on the front, and it will meet the user\´s demands for documents better.
Keywords :
information retrieval; search engines; Chinese document; descending sorting algorithm; document contents; document retrieval engines; document retrieval expected value; retrieval ranking method; user retrieval expectation; Biomedical equipment; Classification algorithms; Content based retrieval; Data mining; Databases; Engines; Information analysis; Information retrieval; Mathematical model; Medical services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
Type :
conf
DOI :
10.1109/ICCSIT.2008.76
Filename :
4624893
Link To Document :
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