Using association rules to discover search engines related queries

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 m...

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Bibliographic Details
Main Authors: Fonseca, B.M., Golgher, P.B., de Moura, E.S., Ziviani, N.
Format: Conference Proceeding
Language:English
Subjects:
Association rules
Data mining
Feedback
Humans
Information technology
Pattern matching
Search engines
Turning
Web pages
Web search
Online Access:Request full text
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Description
Summary: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.
DOI:10.1109/LAWEB.2003.1250284