Item-based collaborative filtering recommendation algorithms

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Item-based collaborative filtering recommendation algorithms

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International World Wide Web Conference archive
Proceedings of the 10th international conference on World Wide Web table of contents

Hong Kong, Hong Kong

Pages: 285 - 295

Year of Publication: 2001

ISBN:1-58113-348-0

Authors

Badrul Sarwar	GroupLens Research Group/Army HPC Research Center, Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN
George Karypis	GroupLens Research Group/Army HPC Research Center, Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN
Joseph Konstan	GroupLens Research Group/Army HPC Research Center, Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN
John Reidl	GroupLens Research Group/Army HPC Research Center, Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGLINK: Hypertext, Hypermedia, and Web
IW3C2 : International World Wide Web Conference Committee

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 93, Downloads (12 Months): 844, Citation Count: 233

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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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	Gui-Rong Xue , Jie Han , Yong Yu , Qiang Yang, User language model for collaborative personalized search, ACM Transactions on Information Systems (TOIS), v.27 n.2, p.1-28, February 2009
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	Paul André , Jaime Teevan , Susan T. Dumais, From x-rays to silly putty via Uranus: serendipity and its role in web search, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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