DocumentCode
2359734
Title
Using association rules to discover search engines related queries
Author
Fonseca, Bruno M. ; Golgher, Paulo B. ; De Moura, Edleno S. ; Ziviani, Nivio
Author_Institution
Federal Univ. of Minas Gerais, Belo Horizonte, Brazil
fYear
2003
fDate
10-12 Nov. 2003
Firstpage
66
Lastpage
71
Abstract
We present a method for automatic generate suggestions of related queries submitted to Web search engines. The method extracts information from the log of past submitted queries to search engines using algorithms for mining association rules. Experimental results were performed on a log containing more than 2.3 million queries submitted to a commercial searching engine giving correct suggestions in 90.5% of the top 5 suggestions presented for common queries extracted from a real log.
Keywords
data mining; knowledge based systems; query processing; relevance feedback; search engines; Web search engine; association rule; data mining; information extraction; query processing; Association rules; Data mining; Feedback; Humans; Information technology; Pattern matching; Search engines; Turning; Web pages; Web search;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Congress, 2003. Proceedings. First Latin American
Print_ISBN
0-7695-2058-8
Type
conf
DOI
10.1109/LAWEB.2003.1250284
Filename
1250284
Link To Document