Open AccessClustering user queries of a search engine
Author(s) -
Ji-Rong Wen,
JianYun Nie,
Hao Zhang
Publication year - 2001
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-58113-348-0
DOI - 10.1145/371920.371974
Subject(s) - beijing , china , library science , microsoft excel , citation , geography , center (category theory) , computer science , world wide web , archaeology , operating system , chemistry , crystallography
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom