DocumentCode :
3777314
Title :
The classification of search results in the meta-search engine
Author :
Jiawei Liu; Qingshan Li; Yishuai Lin
Author_Institution :
School of Computer Science and Technology, Xidian University, Xi´an, China
Volume :
1
fYear :
2015
Firstpage :
520
Lastpage :
525
Abstract :
With the rapid development of the Internet, the demand of people on the Internet retrieval is increasing gradually. The meta-search engine is different from general search engine. It combines multiple search engine results and returns them to the user, but in order to meet the needs of different users, we need classify the results returned by the meta-search engine. Therefore, this article will discuss meta-search engine search results classification method. This paper first analyzes the research status of search results process at home and abroad, and proposes the meta-search results classified processing algorithm. The experiment results show that the classification method proposed in this paper can make the meta-search results classified clearly and accurately, and make the users able to find useful information quickly and accurately, improve the user experience.
Keywords :
"Support vector machines","Classification algorithms","Kernel","Web pages","Metasearch","Principal component analysis","Search engines"
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
Type :
conf
DOI :
10.1109/ICCSNT.2015.7490802
Filename :
7490802
Link To Document :
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