eBizSearch: A Niche Search Engine for e-Business

C. Lee Giles; Yves Petinot; Pradeep B. Teregowda; Hui Han; Steve Lawrence; Arvind Rangaswamy; Nirmal Pal

eBizSearch: A Niche Search Engine for e-Business

C. Lee Giles
, Yves Petinot
, Pradeep B. Teregowda
, Hui Han
, Steve Lawrence
, Arvind Rangaswamy
, Nirmal Pal

Research output: Contribution to journal › Conference article › peer-review

Abstract

Niche Search Engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance. By taking advantage of their domain of concentration they achieve higher relevance and offer enhanced features. We discuss a new niche search engine, eBizSearch, based on the technology of CiteSeer and dedicated to e-business and e-business documents. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We also discuss how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant. eBizSearch is a publicly available service and can be reached at [3].

Original language	English (US)
Pages (from-to)	413-414
Number of pages	2
Journal	SIGIR Forum (ACM Special Interest Group on Information Retrieval)
Issue number	SPEC. ISS.
State	Published - 2003
Event	Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada Duration: Jul 28 2003 → Aug 1 2003

All Science Journal Classification (ASJC) codes

Management Information Systems
Hardware and Architecture

Cite this

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title = "eBizSearch: A Niche Search Engine for e-Business",

abstract = "Niche Search Engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance. By taking advantage of their domain of concentration they achieve higher relevance and offer enhanced features. We discuss a new niche search engine, eBizSearch, based on the technology of CiteSeer and dedicated to e-business and e-business documents. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We also discuss how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant. eBizSearch is a publicly available service and can be reached at [3].",

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year = "2003",

language = "English (US)",

pages = "413--414",

journal = "SIGIR Forum (ACM Special Interest Group on Information Retrieval)",

issn = "0163-5840",

publisher = "Association for Computing Machinery",

number = "SPEC. ISS.",

note = "Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 ; Conference date: 28-07-2003 Through 01-08-2003",

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TY - JOUR

T1 - eBizSearch

T2 - Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003

AU - Giles, C. Lee

AU - Petinot, Yves

AU - Teregowda, Pradeep B.

AU - Han, Hui

AU - Lawrence, Steve

AU - Rangaswamy, Arvind

AU - Pal, Nirmal

PY - 2003

Y1 - 2003

N2 - Niche Search Engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance. By taking advantage of their domain of concentration they achieve higher relevance and offer enhanced features. We discuss a new niche search engine, eBizSearch, based on the technology of CiteSeer and dedicated to e-business and e-business documents. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We also discuss how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant. eBizSearch is a publicly available service and can be reached at [3].

AB - Niche Search Engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance. By taking advantage of their domain of concentration they achieve higher relevance and offer enhanced features. We discuss a new niche search engine, eBizSearch, based on the technology of CiteSeer and dedicated to e-business and e-business documents. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We also discuss how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant. eBizSearch is a publicly available service and can be reached at [3].

UR - https://www.scopus.com/pages/publications/1542377474

UR - https://www.scopus.com/pages/publications/1542377474#tab=citedBy

M3 - Conference article

AN - SCOPUS:1542377474

SN - 0163-5840

SP - 413

EP - 414

JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

IS - SPEC. ISS.

Y2 - 28 July 2003 through 1 August 2003

ER -

eBizSearch: A Niche Search Engine for e-Business

Abstract

All Science Journal Classification (ASJC) codes

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