Patents by Inventor Vu A. Ha

Vu A. Ha 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).

  • Publication number: 20130159105
    Abstract: Advertisements are provided to users for an extended period of time based on a categorization of those users into one or more audiences. A user is being offered credits in exchange for the display such advertisements, which can be utilized to purchase items of value. The advertisements are selected based on which audience a user belongs to and a user is categorized as a member of one or more audiences based on a user profile that is informed by information explicitly provided by the user, information generated by the user to which the user has granted permission and contextual information, such as location. An audience taxonomy is centrally maintained and provided to enable categorization without transmitting users' information off of their computing devices. Advertisers bid on advertisements, not by bidding on keywords, but rather by bidding on the duration for which advertisements are displayed to selected audiences.
    Type: Application
    Filed: December 20, 2011
    Publication date: June 20, 2013
    Applicant: MICROSOFT CORPORATION
    Inventors: Oleksii Kuchaiev, Lingfeng Wu, Vu A. Ha
  • Patent number: 8312273
    Abstract: Methods, systems, and computer-readable media for facilitating personalization of web content is provided, while protecting the privacy of the user data utilized to personalize the user's experience. A privacy vault may collect user data including user activity data, demographic data, and user interests submitted by a user. In one embodiment, the privacy vault operates on a user client device. The privacy vault sends the user data to a community vault that collects user data from multiple users. The community vault generates segment rules that whether a user belongs to a user segment, which expresses a user's interest. The segment rules are then communicated back to the privacy vault, which assigns one or more user segments to the user based on the user data available to the privacy vault and the segment rules. The privacy vault may communicate user segments to one or more content providers that supply personalized content that is selected based on the user segments provided.
    Type: Grant
    Filed: October 7, 2009
    Date of Patent: November 13, 2012
    Assignee: Microsoft Corporation
    Inventors: Nir Nice, Melissa W. Dunn, Eric Picard, Amit Shaked, Eric Don Van Valkenburg, Alexander George Gounares, Friedman Arie, Sefy Ophir, Boaz Feldbaum, Vu A. Ha, Teresa B. Mah, Darrell Jay Cannon, Michael Joseph Toutonghi, Uri Barash, Cynthia Dwork, Ying Li
  • Publication number: 20110083013
    Abstract: Methods, systems, and computer-readable media for facilitating personalization of web content is provided, while protecting the privacy of the user data utilized to personalize the user's experience. A privacy vault may collect user data including user activity data, demographic data, and user interests submitted by a user. In one embodiment, the privacy vault operates on a user client device. The privacy vault sends the user data to a community vault that collects user data from multiple users. The community vault generates segment rules that whether a user belongs to a user segment, which expresses a user's interest. The segment rules are then communicated back to the privacy vault, which assigns one or more user segments to the user based on the user data available to the privacy vault and the segment rules. The privacy vault may communicate user segments to one or more content providers that supply personalized content that is selected based on the user segments provided.
    Type: Application
    Filed: October 7, 2009
    Publication date: April 7, 2011
    Applicant: MICROSOFT CORPORATION
    Inventors: Nir Nice, Melissa W. Dunn, Eric Picard, Amit Shaked, Eric Don Van Valkenburg, Alexander George Gounares, Friedman Arie, Sefy Ophir, Boaz Feldbaum, Vu A. Ha, Teresa Mah, Darrell Jay Cannon, Michael Joseph Toutonghi, Uri Barash, Cynthia Dwork, Ying Li