An algorithmic framework for performing collaborative filtering

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An algorithmic framework for performing collaborative filtering

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Berkeley, California, United States

Pages: 230 - 237

Year of Publication: 1999

ISBN:1-58113-096-1

Authors

Jonathan L. Herlocker	Dept. of Computer Science and Engineering, University of Minnesota
Joseph A. Konstan	Dept. of Computer Science and Engineering, University of Minnesota
Al Borchers	Dept. of Computer Science and Engineering, University of Minnesota
John Riedl	Dept. of Computer Science and Engineering, University of Minnesota

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 61, Downloads (12 Months): 568, Citation Count: 192

Additional Information:

references cited by index terms collaborative colleagues

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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.

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