Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
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In this paper, we propose a method for the automatic maintenance of a directory of Web documents, based on the analysis of the query logs of a search engine. Our method allows automatic maintenance and continuous improvement of Web directories without the need of human editors. The method finds relevant documents to each topic of the Web directory and estimates the relevance of the documents to the topic from user clicks registered in the query log. We also enrich the Web directory by recommending queries to the topics of the directory. We show experiments to illustrate the effectiveness of our approach.