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Study On The Current Situation And Development Of Search Engine

Posted on:2003-11-08Degree:MasterType:Thesis
Country:ChinaCandidate:D M QiaoFull Text:PDF
GTID:2168360065955717Subject:Library science
Abstract/Summary:PDF Full Text Request
The study revolves around the search engine, which is the earliest and the most efficient tool for information organization and retrieval on the Internet. The methods of searching information on the Internet world have been improved greatly by search engine. However, for some reasons, search engine does not collect information perfectly, and provides unsatisfied recall ratio, precision ratio, retrieval function and the interface.The article looks back on the course of the development of search engine, and illustrates the way by which search engine works, and explains its categories and functions. The article studies the traditional evaluation system, including coverage, recall ratio, precision ratio, response time, and the friendship of the interface.Then, it explains the major difference happened to the search engine on the Internet. On the base of the new principles, the article evaluates the search engine again,, and makes the conclusion that the major problems of the present search engines are poor coverage, low precision ratio, and relatively unfriendly interface.We focus on how to better the coverage and how to improve the functions of search engine. We suggest that search engine should comprehensively use the collaborative search robots and the distributive retrieval system to make the information shared. In order to remove the defects of the retrieval function of the present search engine, the paper make use of the idea that the keyword retrieval, the subject retrieval and the classification retrieval should be integrated, and expounds the importance of the idea to improve the recall ratio, the precision ratio and the friendship of the interface of search engine.
Keywords/Search Tags:search engine, retrieval, collaborative search robot, distributive retrieval system
PDF Full Text Request
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