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 journalConference articlepeer-review

11 Scopus citations


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 languageEnglish (US)
Pages (from-to)413-414
Number of pages2
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Issue numberSPEC. ISS.
StatePublished - 2003
EventProceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada
Duration: Jul 28 2003Aug 1 2003

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Hardware and Architecture


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