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US Patent 9009096 Recommendations in a computing advice facility

Patent 9009096 was granted and assigned to EBay on April, 2015 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Current Assignee
EBay
EBay
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9009096
Patent Inventor Names
Christopher Dixon0
Matthew Ryan Gattis0
Thomas Pinckney0
Date of Patent
April 14, 2015
Patent Application Number
13547893
Date Filed
July 12, 2012
Patent Citations Received
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US Patent 12124998 Systems and methods to generate records within a collaboration environment
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US Patent 12093859 Systems and methods to measure and visualize workload for individual users
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US Patent 12093896 Systems and methods to prioritize resources of projects within a collaboration environment
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US Patent 12112298 Systems and methods to provide user-generated graphical user interfaces within a collaboration environment
0
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US Patent 12119949 Systems and methods for providing a collaboration work management platform that facilitates differentiation between users in an overarching group and one or more subsets of individual users
0
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US Patent 12118514 Systems and methods to generate records within a collaboration environment based on a machine learning model trained from a text corpus
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US Patent 12124997 Systems and methods to facilitate nesting of portfolios within a collaboration environment
0
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US Patent 11656754 Systems and methods for preloading an amount of content based on user scrolling
0
...
Patent Primary Examiner
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Kakali Chaki
Patent abstract

According to various embodiments, a ratings matrix including matrix values is generated, each row of the ratings matrix identifying one of a plurality of users, each column of the ratings matrix identifying one of a plurality of items, and each of the matrix values corresponding to a known affinity rating describing a degree of affinity associated with one of the users and one of the items. The ratings matrix may include a missing entry representing an unknown affinity rating. According to various embodiments, a revised ratings matrix is generated by factoring the ratings matrix into a user matrix and an item matrix, the revised ratings matrix being the product of the user matrix and the item matrix and including at least one entry representing a predicted affinity rating in place of the missing entry.

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