Using Association Rules to Discover Search Engines Related Queries

  title={Using Association Rules to Discover Search Engines Related Queries},
  author={Bruno M. Fonseca and Paulo Braz Golgher and Edleno Silva de Moura and Nivio Ziviani},
This work presents 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. 
Highly Cited
This paper has 170 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 101 extracted citations

171 Citations

Citations per Year
Semantic Scholar estimates that this publication has 171 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…