Using Association Rules to Discover Search Engines Related Queries

  • Authors:
  • Bruno M. Fonseca;Paulo B. Golgher;Edleno S. de Moura;Nivio Ziviani

  • Affiliations:
  • -;-;-;-

  • Venue:
  • LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
  • Year:
  • 2003

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Abstract

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.