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Journal of Computer and System Sciences
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Journal of Computer and System Sciences
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http://dx.doi.org/10.1006/jcss...
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Recommendation Systems: A Probabilistic Analysis

Recommendation systems: A probabilistic analysis
descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2001 English Publisher:Elsevier BVJournal:Journal of Computer and System Sciences, volume 63, pages 42-61 (issn: 0022-0000, Copyright policy )
Authors: Ravi Kumar 0001; Prabhakar Raghavan; Sridhar Rajagopalan; Andrew Tomkins;

doi: 10.1006/jcss.2001.1757 , 10.1109/sfcs.1998.743517

Recommendation Systems: A Probabilistic Analysis

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations
Keywords

Network design and communication in computer systems, recommendation system, Computational Theory and Mathematics, Computer Networks and Communications, Applied Mathematics, Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence, Theoretical Computer Science

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 52
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 1%
Top 10%
hybrid