Patents by Inventor Satish Kumar KRISHNAMURTHY

Satish Kumar KRISHNAMURTHY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Identifying similar items based on interaction history
    Patent number: 10311386
    Abstract: One embodiment of the invention sets forth a mechanism for identifying similar items within a plurality of items available to a group of users. The mechanism includes identifying a first count that indicates a number of times any user has interacted with a first item included in the plurality of items and subsequently with any other item, identifying a second count that indicates a number of times any user within the has interacted with a second item included in the plurality of items after interacting with the first item, computing a probability that indicates the likelihood of a particular user interacting with the second item after interacting with the first item based on the first count and the second count, and computing a similarity score that indicates the similarity between the first item and the second item based on the probability and a popularity score associated with the second item.
    Type: Grant
    Filed: July 8, 2011
    Date of Patent: June 4, 2019
    Assignee: NETFLIX, INC.
    Inventors: Carlos Alberto Gomez Uribe, Eric Lucas, Satish Kumar Krishnamurthy, Christopher Francis Pouliot
  • Recommending digital content based on implicit user identification
    Patent number: 8887095
    Abstract: One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.
    Type: Grant
    Filed: April 5, 2011
    Date of Patent: November 11, 2014
    Assignee: Netflix, Inc.
    Inventors: Satish Kumar Krishnamurthy, John Funge, Neil D. Hunt, Todd Scot Yellin, Jonathan Michael Sanders
  • Identifying Similar Items Based on Interaction History
    Publication number: 20130013372
    Abstract: One embodiment of the invention sets forth a mechanism for identifying similar items within a plurality of items available to a group of users. The mechanism includes identifying a first count that indicates a number of times any user has interacted with a first item included in the plurality of items and subsequently with any other item, identifying a second count that indicates a number of times any user within the has interacted with a second item included in the plurality of items after interacting with the first item, computing a probability that indicates the likelihood of a particular user interacting with the second item after interacting with the first item based on the first count and the second count, and computing a similarity score that indicates the similarity between the first item and the second item based on the probability and a popularity score associated with the second item.
    Type: Application
    Filed: July 8, 2011
    Publication date: January 10, 2013
    Inventors: Carlos Alberto GOMEZ URIBE, Eric Lucas, Satish Kumar Krishnamurthy, Christopher Francis Pouliot
  • RECOMMENDING DIGITAL CONTENT BASED ON IMPLICIT USER IDENTIFICATION
    Publication number: 20120260214
    Abstract: One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.
    Type: Application
    Filed: April 5, 2011
    Publication date: October 11, 2012
    Inventors: Satish Kumar KRISHNAMURTHY, John Funge, Neil D. Hunt, Todd Scot Yellin, Jonathan Michael Sanders