Processing search queries in a distributed environment

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Processing search queries in a distributed environment

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

Washington, D.C., USA

SESSION: Industry track table of contents

Pages: 492 - 494

Year of Publication: 2004

ISBN:1-58113-874-1

Authors

Frederick Knabe	Endeca Technologies, Cambridge, MA
Daniel Tunkelang	Endeca Technologies, Cambridge, MA

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

Endeca's approach to processing search queries in a distributed computing environment is predicated on concerns of correctness, scalability, and flexibility in deployment. Using a master-slave architecture, we are able to support classic search as well as more advanced features. We avoid bottlenecking the master with excessive computation or communication by limiting the information from the slaves in the expected case.

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	Owen de Kretser , Alistair Moffat , Tim Shimmin , Justin Zobel, Methodologies for Distributed Information Retrieval, Proceedings of the The 18th International Conference on Distributed Computing Systems, p.66, May 26-29, 1998
	2	Charles L. Viles , James C. French, Dissemination of collection wide information in a distributed information retrieval system, Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, p.12-20, July 09-13, 1995, Seattle, Washington, United States [doi>10.1145/215206.215327]