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US Patent 7921069 Granular data for behavioral targeting using predictive models

Patent 7921069 was granted and assigned to Yahoo! on April, 2011 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Yahoo!
Yahoo!
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
79210690
Patent Inventor Names
George H. John0
Chad Brower0
John Canny0
Pavel Berkhin0
Scott Gaffney0
Shi Zhong0
Date of Patent
April 5, 2011
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Patent Application Number
117704130
Date Filed
June 28, 2007
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Patent Citations Received
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US Patent 11995240 Method and system for conveying digital texture information to a user
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US Patent 12106358 Systems, methods, and devices for unified e-commerce platforms for unique items
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US Patent 12008626 Systems, methods, and devices for measuring similarity of and generating recommendations for unique items
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US Patent 11660246 Method and system for providing information to a user
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US Patent 11755598 Predictive conversion systems and methods
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US Patent 11886518 Systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items
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US Patent 12001608 System and method for representing virtual object information with haptic stimulation
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US Patent 11877975 Method and system for multimodal stimulation
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Patent Primary Examiner
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Michael B. Holmes
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Patent abstract

A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the pre-processed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive mode. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

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