Improving category specific Web search by learning query modifications

E. J. Glover; G. W. Flake; S. Lawrence; W. P. Birmingham; A. Kruger; C. L. Giles; D. M. Pennock

doi:10.1109/SAINT.2001.905165

Improving category specific Web search by learning query modifications

E. J. Glover, G. W. Flake, S. Lawrence, W. P. Birmingham, A. Kruger, C. L. Giles, D. M. Pennock

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

83 Scopus citations

Abstract

Users looking for documents within specific categories may have a difficult time locating valuable documents using general purpose search engines. We present an automated method for learning query modifications that can dramatically improve precision for locating pages within specified categories using Web search engines. We also present a classification procedure that can recognize pages in a specific category with high precision, using textual content, text location and HTML structure. Evaluation shows that the approach is highly effective for locating personal homepages and calls for papers. These algorithms are used to improve category specific search in the Inquirus 2 search engine.

Original language	English (US)
Title of host publication	Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	23-32
Number of pages	10
ISBN (Electronic)	0769509428, 9780769509426
DOIs	https://doi.org/10.1109/SAINT.2001.905165
State	Published - 2001
Event	Symposium on Applications and the Internet, SAINT 2001 - San Diego, United States Duration: Jan 8 2001 → Jan 12 2001

Publication series

Name	Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001

Other

Other	Symposium on Applications and the Internet, SAINT 2001
Country/Territory	United States
City	San Diego
Period	1/8/01 → 1/12/01

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software

Access to Document

10.1109/SAINT.2001.905165

Cite this

Glover, E. J., Flake, G. W., Lawrence, S., Birmingham, W. P., Kruger, A., Giles, C. L., & Pennock, D. M. (2001). Improving category specific Web search by learning query modifications. In Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001 (pp. 23-32). Article 905165 (Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAINT.2001.905165

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title = "Improving category specific Web search by learning query modifications",

abstract = "Users looking for documents within specific categories may have a difficult time locating valuable documents using general purpose search engines. We present an automated method for learning query modifications that can dramatically improve precision for locating pages within specified categories using Web search engines. We also present a classification procedure that can recognize pages in a specific category with high precision, using textual content, text location and HTML structure. Evaluation shows that the approach is highly effective for locating personal homepages and calls for papers. These algorithms are used to improve category specific search in the Inquirus 2 search engine.",

author = "Glover, {E. J.} and Flake, {G. W.} and S. Lawrence and Birmingham, {W. P.} and A. Kruger and Giles, {C. L.} and Pennock, {D. M.}",

note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; Symposium on Applications and the Internet, SAINT 2001 ; Conference date: 08-01-2001 Through 12-01-2001",

year = "2001",

doi = "10.1109/SAINT.2001.905165",

language = "English (US)",

series = "Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "23--32",

booktitle = "Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001",

address = "United States",

}

Glover, EJ, Flake, GW, Lawrence, S, Birmingham, WP, Kruger, A, Giles, CL & Pennock, DM 2001, Improving category specific Web search by learning query modifications. in Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001., 905165, Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001, Institute of Electrical and Electronics Engineers Inc., pp. 23-32, Symposium on Applications and the Internet, SAINT 2001, San Diego, United States, 1/8/01. https://doi.org/10.1109/SAINT.2001.905165

Improving category specific Web search by learning query modifications. / Glover, E. J.; Flake, G. W.; Lawrence, S. et al.
Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001. Institute of Electrical and Electronics Engineers Inc., 2001. p. 23-32 905165 (Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Pennock, D. M.

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N2 - Users looking for documents within specific categories may have a difficult time locating valuable documents using general purpose search engines. We present an automated method for learning query modifications that can dramatically improve precision for locating pages within specified categories using Web search engines. We also present a classification procedure that can recognize pages in a specific category with high precision, using textual content, text location and HTML structure. Evaluation shows that the approach is highly effective for locating personal homepages and calls for papers. These algorithms are used to improve category specific search in the Inquirus 2 search engine.

AB - Users looking for documents within specific categories may have a difficult time locating valuable documents using general purpose search engines. We present an automated method for learning query modifications that can dramatically improve precision for locating pages within specified categories using Web search engines. We also present a classification procedure that can recognize pages in a specific category with high precision, using textual content, text location and HTML structure. Evaluation shows that the approach is highly effective for locating personal homepages and calls for papers. These algorithms are used to improve category specific search in the Inquirus 2 search engine.

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BT - Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001

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Glover EJ, Flake GW, Lawrence S, Birmingham WP, Kruger A, Giles CL et al. Improving category specific Web search by learning query modifications. In Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001. Institute of Electrical and Electronics Engineers Inc. 2001. p. 23-32. 905165. (Proceedings - 2001 Symposium on Applications and the Internet, SAINT 2001). doi: 10.1109/SAINT.2001.905165

Improving category specific Web search by learning query modifications

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