Clustering user queries of a search engine

In order to increase retrieval precision, some new search engines provide manually verified answers to Frequently Asked Queries (FAQs). An underlying task is the identification of FAQs. This paper describes our attempt to cluster similar queries according to their contents as well as user logs. Our preliminary results show that the resulting clusters provide useful information for FAQ identification. Categories and Subject Descriptors Clustering, Citation and link analysis, Interactive IR General Terms Algorithms, Performance Keywords Query clustering, web data mining, user log, search engine

• Type: Conference
• Year: 2001
• Where: WWW
• Authors: Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang
• Keywords: Internet Technology, IR General Terms, Similar Queries, Subject Descriptors, WWW 2001