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Collaborate With Strangers to Find Own Preferences∗ Extended Abstract Baruch Awerbuch† Yossi Azar‡
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Document Date: 2007-04-26 00:00:00


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Las Vegas / /

Company

Fiat / Cambridge University Press / Goldman / ACM Press / Computer-Communication Networks / /

Country

Netherlands / United States / Israel / /

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USD / /

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Facility

Tel Aviv University / Johns Hopkins University / /

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by-product / recommendation algorithms / distributed and sequential algorithms / recursive parallel algorithm / recommendation systems / computerized recommendation systems / on-line model / recommender systems / reasonable solution / algorithmic solutions / latter algorithm / asynchronous algorithm / sequential algorithm / e - commerce / distributed peer-to-peer algorithm / parallel algorithm / symmetric algorithms / non-trivial solution / committee-based algorithm / learning algorithms / electronic commerce / /

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CCR / /

Organization

Cambridge University / Israel Ministry of Science and Technology / Cambridge Center / National Science Foundation / Israel Science Foundation / German-Israeli Foundation / Johns Hopkins University / U.S. Securities and Exchange Commission / V / Tel Aviv University / Tel Aviv / School of Computer Science / HP Cambridge Research Lab / ANIR0240551 / /

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Boaz Patt-Shamir / Mark R. Tuttle / /

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current player / local player / type-T player / General / player / vm player / random player / rational player / individual player / noncommittee player / /

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Nevada / /

PublishedMedium

Theory of Computing / /

Technology

recommendation algorithms / recursive parallel algorithm / latter algorithm / following algorithm / D. This algorithm / peer-to-peer / parallel algorithm / ltering recommendation algorithms / asynchronous algorithm / SVD-based algorithms / Terms Algorithms / sequential algorithm / 5.1 Asymmetric algorithms / committee-based algorithm / Nonnumerical Algorithms / The algorithms / distributed and sequential algorithms / expected Algorithm / learning algorithms / committee-based algorithms / /

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