A New Retrieval Ranking Method based on Document Retrieval Expected Value in Chinese Document

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.

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