Collaborative querying for enhanced information retrieval

DSpace/Manakin Repository


Search DR-NTU

Advanced Search Subject Search


My Account

Collaborative querying for enhanced information retrieval

Show full item record

Title: Collaborative querying for enhanced information retrieval
Author: Fu, Lin; Goh, Dion Hoe-Lian; Foo, Schubert; Supangat, Yohan
Copyright year: 2004
Abstract: Communication and collaboration with other people is a major theme in the information seeking process. Collaborative querying addresses this issue by sharing other users’ search experiences to help users formulate appropriate queries to a search engine. This paper describes a collaborative querying system that helps users with query formulation by finding previously submitted similar queries through mining web logs. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph-based approach to visualize the query recommendations.
Subject: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Type: Conference Paper
Conference name: European Conference on Digital Libraries (8th : 2004 : Bath)
School: Wee Kim Wee School of Communication and Information
Version: Published version

Files in this item

Files Size Format View
2004-collaborative-querying-ecdl.pdf 245.2Kb PDF View/Open

DOI Query

- Get published version (via Digital Object Identifier)

This item appears in the following Collection(s)

Show full item record


Total views

All Items Views
Collaborative querying for enhanced information retrieval 683

Total downloads

All Bitstreams Views
2004-collaborative-querying-ecdl.pdf 203

Top country downloads

Country Code Views
United States of America 87
Singapore 40
China 19
Germany 11
France 6

Top city downloads

city Views
Mountain View 52
Singapore 40
Kiez 5
Central District 3
Magdeburg 2