Evaluating the effectiveness of a collaborative querying environment
Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In previous work, a collaborative query environment (CQE) was developed for a digital library. The system operates by clustering and recommending related queries to users usin...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2009
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| Online Access: | https://hdl.handle.net/10356/94444 http://hdl.handle.net/10220/6123 |
| _version_ | 1824453539845373952 |
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| author | Fu, Lin Goh, Dion Hoe-Lian Foo, Schubert |
| author2 | Wee Kim Wee School of Communication and Information |
| author_facet | Wee Kim Wee School of Communication and Information Fu, Lin Goh, Dion Hoe-Lian Foo, Schubert |
| author_sort | Fu, Lin |
| collection | NTU |
| description | Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In previous work, a collaborative query environment (CQE) was developed for a digital library. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. Users can explore the query clusters using a graph-based visualization system known as the Query Graph Visualizer (QGV). The purpose of this paper is to evaluate the CQE with goal of informing the usefulness and usability of such a system. Our results show that compared with traditional information retrieval systems, collaborative querying can lead to faster information seeking when users perform unspecified tasks. |
| first_indexed | 2025-02-19T03:08:02Z |
| format | Conference Paper |
| id | ntu-10356/94444 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:08:02Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/944442020-03-07T12:15:49Z Evaluating the effectiveness of a collaborative querying environment Fu, Lin Goh, Dion Hoe-Lian Foo, Schubert Wee Kim Wee School of Communication and Information International Conference on Asian Digital Libraries (8th : 2005 : Thailand) DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In previous work, a collaborative query environment (CQE) was developed for a digital library. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. Users can explore the query clusters using a graph-based visualization system known as the Query Graph Visualizer (QGV). The purpose of this paper is to evaluate the CQE with goal of informing the usefulness and usability of such a system. Our results show that compared with traditional information retrieval systems, collaborative querying can lead to faster information seeking when users perform unspecified tasks. Accepted version 2009-10-02T01:39:01Z 2019-12-06T18:56:06Z 2009-10-02T01:39:01Z 2019-12-06T18:56:06Z 2005 2005 Conference Paper Fu, L., Goh, D., & Foo, S. (2005). Evaluating the effectiveness of a collaborative querying environment. Proceedings of the 8th International Conference on Asian Digital Libraries ICADL 2005, (December 12-15, Bangkok, Thailand), Lecture Notes in Computer Science 3815, 342-351. https://hdl.handle.net/10356/94444 http://hdl.handle.net/10220/6123 10.1007/11599517 en The original publication is available at www.springerlink.com. 11 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Fu, Lin Goh, Dion Hoe-Lian Foo, Schubert Evaluating the effectiveness of a collaborative querying environment |
| title | Evaluating the effectiveness of a collaborative querying environment |
| title_full | Evaluating the effectiveness of a collaborative querying environment |
| title_fullStr | Evaluating the effectiveness of a collaborative querying environment |
| title_full_unstemmed | Evaluating the effectiveness of a collaborative querying environment |
| title_short | Evaluating the effectiveness of a collaborative querying environment |
| title_sort | evaluating the effectiveness of a collaborative querying environment |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval |
| url | https://hdl.handle.net/10356/94444 http://hdl.handle.net/10220/6123 |
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