DocumentCode
3133081
Title
Optimization Design of Website Search Based on Vector Space Model
Author
Tian, Zheng-jun ; Zhang, Hong-yan
Author_Institution
Sch. of Software, Henan Inst. of Eng., Zhengzhou, China
fYear
2011
fDate
8-9 Oct. 2011
Firstpage
447
Lastpage
450
Abstract
With the rapid development of Internet, online information is rapidly expanding, the accuracy and efficiency of search is particularly important. This paper applies the technology of natural language understanding to the website search field, studies document representation theory and realizes the extraction of document eigen value using vector space model and TFIDF formula. Besides, it also provides basis for document classification.
Keywords
Internet; Web sites; document handling; eigenvalues and eigenfunctions; natural language processing; pattern classification; search engines; Internet; TFIDF formula; Web site search; document classification; document eigen value extraction; document representation theory; natural language understanding; online information; optimization design; vector space model; Feature extraction; Search engines; Support vector machine classification; Text mining; Vectors; Vocabulary; Web pages; Characteristic Value; Vector space model; website search;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location
Sanya
Print_ISBN
978-1-4577-1788-8
Type
conf
DOI
10.1109/KAM.2011.122
Filename
6137677
Link To Document