Patents by Inventor Sanjeev Jagannatha Rao
Sanjeev Jagannatha Rao 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).
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Publication number: 20210406680Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network used to generate a ranking score for a network input. One of the methods includes generating training data and training the neural network on the training data. The training data includes a plurality of training pairs. The generating comprising: obtaining data indicating that a plurality of training network inputs were displayed in a user interface according to a presentation order, obtaining data indicating that a first training network input of the plurality of training network inputs has a positive label, determining that a second training network input of the plurality of training network inputs (i) has a negative label and (ii) is higher than the first training network input in the presentation order, and generating a training pair that includes the first training network input and the second training network input.Type: ApplicationFiled: November 18, 2020Publication date: December 30, 2021Inventors: Xiaohong Gong, Arturo Bajuelos Castillo, Sanjeev Jagannatha Rao, Xueliang Lu, Amogh S. Asgekar, Anton Alexandrov, Carsten Miklos Steinebach
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Patent number: 10666521Abstract: A method for positioning network devices includes receiving network parameters for a network and determining corresponding installation locations for the end devices based on the network parameters. The network includes at least one network backhaul, relay devices in communication with the network backhaul, and end devices in communication with the relay devices or the network backhaul. The end devices are configured to wirelessly communicate with user devices at the corresponding user locations. The method also includes determining communication connections between at least one of: the end devices and user devices; the relay devices and the at least one network backhaul; the relay devices and the end devices; or the end devices and the at least one network backhaul. The method further includes generating a network topology indicating the determined corresponding locations for the end devices and the determined communication connections.Type: GrantFiled: September 23, 2019Date of Patent: May 26, 2020Assignee: Google LLCInventors: Xiaoming Wang, Greg Leon, Sanjeev Jagannatha Rao, Jun Yin, Peter Chen, Dongdong Wang
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Patent number: 10552682Abstract: One or more systems and/or methods for providing content to a user are provided. An image, associated with a user, may be evaluated utilizing an image classifier to identify an object within the image. The object may be utilized to identify a predicted class for the user. In an example, the predicted class may correspond to a life event (e.g., graduating college, having a baby, buying a house, etc.) and/or a life stage (e.g., adolescence, retirement, etc.). Locational information (e.g., a geotag) for the image may be evaluated to determine an image location (e.g., a location where the image was generated). Responsive to the image location corresponding to a home location of the user, the predicted class may be determined to be a class associated with the user. Content (e.g., promotional content) may be selected from a content repository based upon the class and subsequently provided to the user.Type: GrantFiled: June 30, 2017Date of Patent: February 4, 2020Assignee: Oath Inc.Inventors: Kristjan Jonsson, Sanjeev Jagannatha Rao, Daniel J. Tasse
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Patent number: 10462014Abstract: A method for positioning network devices includes receiving network parameters for a network and determining corresponding installation locations for the end devices based on the network parameters. The network includes at least one network backhaul, relay devices in communication with the network backhaul, and end devices in communication with the relay devices or the network backhaul. The end devices are configured to wirelessly communicate with user devices at the corresponding user locations. The method also includes determining communication connections between at least one of: the end devices and user devices; the relay devices and the at least one network backhaul; the relay devices and the end devices; or the end devices and the at least one network backhaul. The method further includes generating a network topology indicating the determined corresponding locations for the end devices and the determined communication connections.Type: GrantFiled: November 8, 2017Date of Patent: October 29, 2019Assignee: Google LLCInventors: Xiaoming Wang, Greg Leon, Sanjeev Jagannatha Rao, Jun Yin, Peter Chen, Dongdong Wang
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Publication number: 20170300750Abstract: One or more systems and/or methods for providing content to a user are provided. An image, associated with a user, may be evaluated utilizing an image classifier to identify an object within the image. The object may be utilized to identify a predicted class for the user. In an example, the predicted class may correspond to a life event (e.g., graduating college, having a baby, buying a house, etc.) and/or a life stage (e.g., adolescence, retirement, etc.). Locational information (e.g., a geotag) for the image may be evaluated to determine an image location (e.g., a location where the image was generated). Responsive to the image location corresponding to a home location of the user, the predicted class may be determined to be a class associated with the user. Content (e.g., promotional content) may be selected from a content repository based upon the class and subsequently provided to the user.Type: ApplicationFiled: June 30, 2017Publication date: October 19, 2017Inventors: Kristjan Jonsson, Sanjeev Jagannatha Rao, Daniel J. Tasse
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Patent number: 9704045Abstract: One or more systems and/or methods for providing content to a user are provided. An image, associated with a user, may be evaluated utilizing an image classifier to identify an object within the image. The object may be utilized to identify a predicted class for the user. In an example, the predicted class may correspond to a life event (e.g., graduating college, having a baby, buying a house, etc.) and/or a life stage (e.g., adolescence, retirement, etc.). Locational information (e.g., a geotag) for the image may be evaluated to determine an image location (e.g., a location where the image was generated). Responsive to the image location corresponding to a home location of the user, the predicted class may be determined to be a class associated with the user. Content (e.g., promotional content) may be selected from a content repository based upon the class and subsequently provided to the user.Type: GrantFiled: October 6, 2015Date of Patent: July 11, 2017Assignee: YAHOO! INC.Inventors: Kristjan Jonsson, Sanjeev Jagannatha Rao, Daniel J. Tasse
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Publication number: 20170098124Abstract: One or more systems and/or methods for providing content to a user are provided. An image, associated with a user, may be evaluated utilizing an image classifier to identify an object within the image. The object may be utilized to identify a predicted class for the user. In an example, the predicted class may correspond to a life event (e.g., graduating college, having a baby, buying a house, etc.) and/or a life stage (e.g., adolescence, retirement, etc.). Locational information (e.g., a geotag) for the image may be evaluated to determine an image location (e.g., a location where the image was generated). Responsive to the image location corresponding to a home location of the user, the predicted class may be determined to be a class associated with the user. Content (e.g., promotional content) may be selected from a content repository based upon the class and subsequently provided to the user.Type: ApplicationFiled: October 6, 2015Publication date: April 6, 2017Inventors: Kristjan Jonsson, Sanjeev Jagannatha Rao, Daniel J. Tasse