eBizSearch: A Niche Search Engine for e-Business

SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Volumn , Issue SPEC. ISS., 2003, Pages 413-414

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

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b GOOGLE INC   (United States)

Author keywords

CiteSeer; Digital Library; e Business; eBizSearch; Machine Learning; Metadata; OAI; Search Engine; SVM; Tagging

Indexed keywords

CITESEER; EBIZSEARCH; OAI; SUPPORT VECTOR MACHINE (SVM); TAGGING;

DIGITAL LIBRARIES; ELECTRONIC COMMERCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; METADATA; WORLD WIDE WEB;

SEARCH ENGINES;

EID: 1542377474     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (10)

1. S. Chakrabarti, M. Van den Berg, B. Dom, "Focused crawling: a new approach to topic-specific Web resource discovery", In Proceedings of the 8th International World Wide Web Conference, pp 1623-1640, Amsterdam, Netherlands, 1999.
2. CiteSeer homepage, http://www.citeseer.com.
3. eBizSearch homepage, http://www.ebizsearch.org.
4. eBizSearch OAI base URL, http://www.ebizsearch.org/oai.
5. C.L. Giles, K. Bollacker, S. Lawrence, "CiteSeer: An Automatic Citation Indexing System", In Proceedings of the 3rd ACM Conference on Digital Libraries (DL'98), pp. 89-98, 1998.
6. IDEAS homepage, http://ideas.repec.org/.
7. T. Joachims, "Text categorization with support vector machines: learning with many relevant features", In Proceedings of the 10th European Conference on Machine Learning (ECML-98), pp 137-142, 1998.
8. S. Lawrence, C.L. Giles, "The Inquirus Meta Search Engine", In Proceedings of the 7th International World Wide Web Conference, pp 95-105, 1998.
9. "The OAI Protocol for Metadata Harvesting", http://www.openarchives.org/OAI/openarchivesprotocol.htm.
10. K. Seymore, A. McCallum, R. Rosenfeld, "Learning hidden Markov model structure for information extraction", In Proceedings of the AAAI 99 Workshop on Machine Learning for Information Extraction, pp 37-42, 1999.