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
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;
Conference_Titel :
Web Congress, 2003. Proceedings. First Latin American
Print_ISBN :
0-7695-2058-8
DOI :
10.1109/LAWEB.2003.1250284
