DocumentCode
2734205
Title
Center Block Duplication Detection and Indexing for Efficient Web Information Retrieval
Author
Cadenhead, Tyrone ; Chen, Jinlin ; Cook, Terry
Author_Institution
Dept. of Comput. Sci., CUNY, Flushing, NY
fYear
2006
fDate
6-6 Dec. 2006
Firstpage
424
Lastpage
429
Abstract
Duplicated information in today´s Web has serious negative impact to search engines in that it increases the size of the index and results in low efficiency for Web information retrieval. A large amount of Web content duplication happens at block level in addition to page level. Besides, when searching the web, in most cases the desired information is located at the center block of a page. Based on these two observations, we propose a block level duplication detection algorithm, and index center blocks instead of entire Web pages for Web information retrieval. Experiments show that these strategies can effectively reduce index size and indexing time without sacrificing the effectiveness of Web information retrieval.
Keywords
Internet; indexing; information retrieval; search engines; Web information retrieval; center block duplication detection; indexing; search engine; Computer science; Detection algorithms; Educational institutions; Image processing; Indexing; Information retrieval; Infrared detectors; Search engines; Web pages; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Information Management, 2006 1st International Conference on
Conference_Location
Bangalore
Print_ISBN
1-4244-0682-X
Type
conf
DOI
10.1109/ICDIM.2007.369232
Filename
4221924
Link To Document