Patents by Inventor Christopher J. Mallery

Christopher J. Mallery 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).

  • Multi-content recommendation system combining user model, item model and real time signals
    Patent number: 11954161
    Abstract: Methods, systems, apparatuses, and computer program products are described for providing content recommendations to a requestor. In implementations, user event records associated with media items and content types may be stored, for instance, in an event catalog. A set of user scores may be generated based on a user-content score model and the user event records, where each generated user score represents an affinity between a user and a corresponding content type of the plurality of content types. A set of title scores may also be generated for a media item based on a title-content score model, where each generated title score represents an affinity between the media item and a corresponding content type. In response to a request, the sets of scores may be combined to generate a set of content recommendations to provide to the requestor.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: April 9, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Danilo L. Benzatti, Rajasi Saha, Christopher J. Mallery, Michael Y. Moon, Saliha Azzam, Xiaoguang Qi, Harish Jayanti, Jayaram N. M. Nanduri, Chad A. Zanonie
  • MULTI-CONTENT RECOMMENDATION SYSTEM COMBINING USER MODEL, ITEM MODEL AND REAL TIME SIGNALS
    Publication number: 20190373331
    Abstract: Methods, systems, apparatuses, and computer program products are described for providing content recommendations to a requestor. In implementations, user event records associated with media items and content types may be stored, for instance, in an event catalog. A set of user scores may be generated based on a user-content score model and the user event records, where each generated user score represents an affinity between a user and a corresponding content type of the plurality of content types. A set of title scores may also be generated for a media item based on a title-content score model, where each generated title score represents an affinity between the media item and a corresponding content type. In response to a request, the sets of scores may be combined to generate a set of content recommendations to provide to the requestor.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 5, 2019
    Inventors: Danilo L. Benzatti, Rajasi Saha, Christopher J. Mallery, Michael Y. Moon, Saliha Azzam, Xiaoguang Qi, Harish Jayanti, Jayaram N.M. Nanduri, Chad A. Zanonie