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First Latin American Web Congress (LA-WEB'03)
Using Association Rules to Discover Search Engines Related Queries
Santiago, Chile
November 10-November 12
ISBN: 0-7695-2058-8
Bruno M. Fonseca, Federal University of Minas Gerais
Paulo B. Golgher, Akwan Information Technologies
Edleno S. de Moura, Federal University of Amazonas
Nivio Ziviani, Federal University of Minas Gerais
This work presents a method for automatic generate suggestions of related queries submitted toWeb 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.
Citation:
Bruno M. Fonseca, Paulo B. Golgher, Edleno S. de Moura, Nivio Ziviani, "Using Association Rules to Discover Search Engines Related Queries," la-web, pp.66, First Latin American Web Congress (LA-WEB'03), 2003
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