Query taxonomy generation for web search

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Query taxonomy generation for web search

Full text

Pdf (108 KB)

Source

Conference on Information and Knowledge Management archive
Proceedings of the 15th ACM international conference on Information and knowledge management table of contents

Arlington, Virginia, USA

POSTER SESSION: Posters table of contents

Pages: 862 - 863

Year of Publication: 2006

ISBN:1-59593-433-2

Authors

Pu-Jeng Cheng	National Taiwan University, Taipei, Taiwan
Ching-Hsiang Tsai	National Taiwan University, Taipei, Taiwan
Chen-Ming Hung	Institute of Information Science Academia Sinica, Taipei, Taiwan
Lee-Feng Chien	Institute of Information Science Academia Sinica, Taipei, Taiwan

Sponsors

ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 1

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1183614.1183768 What is a DOI?

ABSTRACT

We propose an approach that organizes the search-result clusters into a hierarchical structure, called a query taxonomy, from the user's perspective. The proposed approach is based on an unsupervised classification method, which uses the dynamic Web as the training corpus. With query taxonomy, users can browse relevant Web documents more conveniently and comprehensibly. Our experimental results verify the feasibility and the effectiveness of the proposed approach to query taxonomy generation in Web search.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Simon Dennis , Peter Bruza , Robert McArthur, Web searching: a process-oriented experimental study of three interactive search paradigms, Journal of the American Society for Information Science and Technology, v.53 n.2, p.120-133, January 15, 2002 [doi>10.1002/asi.10015]
	2	Chien-Chung Huang , Shui-Lung Chuang , Lee-Feng Chien, Liveclassifier: creating hierarchical text classifiers through web corpora, Proceedings of the 13th international conference on World Wide Web, May 17-20, 2004, New York, NY, USA [doi>10.1145/988672.988698]
	3	Krishna Kummamuru , Rohit Lotlikar , Shourya Roy , Karan Singal , Raghu Krishnapuram, A hierarchical monothetic document clustering algorithm for summarization and browsing search results, Proceedings of the 13th international conference on World Wide Web, May 17-20, 2004, New York, NY, USA [doi>10.1145/988672.988762]