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
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;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.122
