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A fast algorithm for optimally matching bids between users and items

Summary
Tony Jebara, Ph.D.
Technology Benefits
Finds 100% optimal solutions to large-scale matching problems.Exceptional computational speed Enhanced memory storage efficiency compared to similar algorithmsParticularly efficient for sparse graph cases, with there are fewer calls for matchingScales efficiently to handle problems of any sizePatent information:Patent Pending Tech Ventures Reference: IR M11-081
Technology Application
Quickly find optimal solutions of a variety of matching problemsOnline auction platforms' item-bid matchingSocial network and online dating site matching between usersExtend search engine functionalityResource allocation for large online merchants Other consumer/supplier operations management
Detailed Technology Description
Tony Jebara, Ph.D.
*Abstract
None
*Inquiry
Jay HickeyColumbia Technology VenturesTel: (212) 854-8444Email: TechTransfer@columbia.edu
*IR
M11-081
*Principal Investigator
*Publications
Fast b-matching via Sufficient Selection Belief Propagation, B. Huang and T. Jebara, 14th AISTATs Conference, April 2011.
Country/Region
USA

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