Patents by Inventor Gautam Kedia

Gautam Kedia 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).

  • Patent number: 9976864
    Abstract: One or more techniques and/or systems are provided for providing a recommendation and/or a travel interface based upon a predicted travel intent. For example, a set of user signals (e.g., search queries, calendar information, social network data, etc.) may be evaluated to determine the predicted travel intent for a user to travel to a destination. A recommendation may be provided based upon the predicted travel intent. For example, images, news stories, advertisements, events, attractions, travel accommodation (e.g., hotel, car, and/or flight reservation functionality) and/or other information and functionality associated with the destination may be provided through the recommendation. The recommendation may be provided through an alert, a mobile app, a website, a travel interface, and/or a variety of other interfaces. The predicted travel intent may be used to modify information provided by a website, an operating system, and/or apps (e.g., a news app may display information about the destination).
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: May 22, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Zachary Adam Kahn, Karan Singh Rekhi, Gautam Kedia
  • Publication number: 20170211945
    Abstract: One or more techniques and/or systems are provided for providing a recommendation and/or a travel interface based upon a predicted travel intent. For example, a set of user signals (e.g., search queries, calendar information, social network data, etc.) may be evaluated to determine the predicted travel intent for a user to travel to a destination. A recommendation may be provided based upon the predicted travel intent. For example, images, news stories, advertisements, events, attractions, travel accommodation (e.g., hotel, car, and/or flight reservation functionality) and/or other information and functionality associated with the destination may be provided through the recommendation. The recommendation may be provided through an alert, a mobile app, a website, a travel interface, and/or a variety of other interfaces. The predicted travel intent may be used to modify information provided by a website, an operating system, and/or apps (e.g., a news app may display information about the destination).
    Type: Application
    Filed: April 7, 2017
    Publication date: July 27, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Zachary Adam Kahn, Karan Singh Rekhi, Gautam Kedia
  • Publication number: 20170126610
    Abstract: Technologies are described related to communication interfaces for wearable devices. User experience with wearable devices may be enhanced through tailored views for communications, calendar items, actions associated with those, where the views and presentations may be dynamically selected and adjusted based on context, user, location, and device capabilities. Smart notifications and user-friendly note taking, functionality may be enabled also based on context, user, location, and device capabilities. Other scenarios may be unlocked based on proximity and/or sensor data.
    Type: Application
    Filed: October 30, 2015
    Publication date: May 4, 2017
    Inventors: Vignesh Sachidanandam, Gary Caldwell, Gautam Kedia, Hiroshi Tsukahara, Ned Bearer Friend, Zachary Kahn
  • Patent number: 9618343
    Abstract: One or more techniques and/or systems are provided for providing a recommendation and/or a travel interface based upon a predicted travel intent. For example, a set of user signals (e.g., search queries, calendar information, social network data, etc.) may be evaluated to determine the predicted travel intent for a user to travel to a destination. A recommendation may be provided based upon the predicted travel intent. For example, images, news stories, advertisements, events, attractions, travel accommodation (e.g., hotel, car, and/or flight reservation functionality) and/or other information and functionality associated with the destination may be provided through the recommendation. The recommendation may be provided through an alert, a mobile app, a website, a travel interface, and/or a variety of other interfaces. The predicted travel intent may be used to modify information provided by a website, an operating system, and/or apps (e.g., a news app may display information about the destination).
    Type: Grant
    Filed: December 12, 2013
    Date of Patent: April 11, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Zachary Adam Kahn, Karan Singh Rekhi, Gautam Kedia
  • Publication number: 20160350658
    Abstract: Examples of the present disclosure describe systems and methods for improving the recommendations provided to a user by a recommendation system using viewed content as implicit feedback. In some aspects, attention models are created/updated to infer the user attention of a user that has viewed or is viewing content on a computing device. The attention model may be used to convert inferences of user attention into inferences of user satisfaction with the viewed content. The inferences of user satisfaction may be used to generate inferences of fatigue with the viewed content. The inferences of user satisfaction and inferences of user fatigue may then be used as implicit feedback to improve the content selection, content triggering and/or content presentation by the recommendation system. Other examples are also described.
    Type: Application
    Filed: June 1, 2015
    Publication date: December 1, 2016
    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Gautam Kedia, Kieran McDonald, Qi Guo, Abhishek Jha, Karan Singh Rekhi, Zachary Kahn, Aidan Crook
  • Publication number: 20150269152
    Abstract: One or more techniques and/or systems are provided for ranking recommendations within a set of recommendations. For example, a set of locational relevance boundaries may be generated and/or configured for ranking the set of recommendation. For example, a locational relevance boundary may adjust a rank of a recommendation using a rank influence (e.g., a linear function, a step function, a numerical value, and/or any other function used to increase, decrease, or assign a value to the rank based upon a current location of the user). The locational relevance boundary may be applied based upon the current location of the user corresponding to one or more threshold distances from a target recommendation location. For example, a logarithmic function may be applied to a rank of a theater recommendation when the user is less than 1.2 miles from the theater. Ranked recommendations may be provided to the user.
    Type: Application
    Filed: March 18, 2014
    Publication date: September 24, 2015
    Inventors: Karan Singh Rekhi, Abhishek Jha, Gautam Kedia, Kieran Richard McDonald, Andrew P. McGovern
  • Publication number: 20150168150
    Abstract: One or more techniques and/or systems are provided for providing a recommendation and/or a travel interface based upon a predicted travel intent. For example, a set of user signals (e.g., search queries, calendar information, social network data, etc.) may be evaluated to determine the predicted travel intent for a user to travel to a destination. A recommendation may be provided based upon the predicted travel intent. For example, images, news stories, advertisements, events, attractions, travel accommodation (e.g., hotel, car, and/or flight reservation functionality) and/or other information and functionality associated with the destination may be provided through the recommendation. The recommendation may be provided through an alert, a mobile app, a website, a travel interface, and/or a variety of other interfaces. The predicted travel intent may be used to modify information provided by a website, an operating system, and/or apps (e.g., a news app may display information about the destination).
    Type: Application
    Filed: December 12, 2013
    Publication date: June 18, 2015
    Applicant: Microsoft Corporation
    Inventors: Zachary Adam Kahn, Karan Singh Rekhi, Gautam Kedia
  • Publication number: 20150106349
    Abstract: A user profile is constructed from implicit user signals, such as prior searches, as well as from explicit user signals. The user profile informs which types of information is proactively obtained for the user. The proactively obtained information is ranked so that only the highest ranked information is proactively presented to the user. The proactive presentation of information to the user can take the form of tiles, or other like graphical elements, that can comprise images with text indicative of information that is being proactively presented to the user. User action directed to a tile can result in the presentation of further information.
    Type: Application
    Filed: October 13, 2013
    Publication date: April 16, 2015
    Applicant: Microsoft Corporation
    Inventors: Sage Kitamorn, Paul Thackray, Gautam Kedia, Xiaoyuan Cui, Abhishek Jha, Bruno Caiado
  • Publication number: 20140046922
    Abstract: The disclosed architecture enables user feedback in the form of gestures, and optionally, voice signals, of one or more users, to interact with a search engine framework. For example, document relevance, document ranking, and output of the search engine can be modified based on the capture and interpretation of physical gestures of a user. The recognition of a specific gesture is detected based on the physical location and movement of the joints of a user. The architecture captures emotive responses while navigating the voice-driven and gesture-driven interface, and indicates that appropriate feedback has been captured. The feedback can be used to alter the search query, personalize the response using the feedback collected through the search/browsing session, modifying result ranking, navigation of the user interface, modification of the entire result page, etc., among many others.
    Type: Application
    Filed: August 8, 2012
    Publication date: February 13, 2014
    Applicant: Microsoft Corporation
    Inventors: Aidan C. Crook, Nikhil Dandekar, Ohil K. Manyam, Gautam Kedia, Sisi Sarkizova, Sara Javanmardi, Daniel Liebling, Ryen William White, Kevyn Collins-Thompson