Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

13

WWW
2001
ACM

favoriteEmaildiscussreport

195views Internet Technology» more WWW 2001»

Clustering user queries of a search engine

14 years 4 months ago

Clustering user queries of a search engine

Download research.microsoft.com

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

Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang

Real-time Traffic

Internet Technology | IR General Terms | Similar Queries | Subject Descriptors | WWW 2001 |

claim paper

Related Content

» Query Recommendation Using Query Logs in Search Engines

» Personalized ConceptBased Clustering of Search Engine Queries

» Extracting User Interests from Search Query Logs A Clustering Approach

» Deriving ConceptBased User Profiles from Search Engine Logs

» Classifying the user intent of web queries using kmeans clustering

» Query Recommendation for Improving Search Engine Results

» IntentSearch Capturing User Intention for OneClick Internet Image Search

» Query Graph Visualizer A Collaborative Querying System

» Towards Automatic Generation of Query Taxonomy A Hierarchical Query Clustering Approach

Post Info
More Details (n/a)

Added	22 Nov 2009
Updated	22 Nov 2009
Type	Conference
Year	2001
Where	WWW
Authors	Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang

Comments (0)