Patents by Inventor Goutham KURRA

Goutham KURRA 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: 11663220
    Abstract: A system analyzes periodically collected data associated with entities, for example, users, servers, or systems. The system determines anomalies associated with populations of entities. The system excludes anomalies from consideration to increase efficiency of execution. The system may rank the anomalies based on relevance scores. The system determines relevance scores based on various factors describing the sets of entities. The system may present information describing the anomalies based on the ranking. The system may use a machine learning based model for predicting likelihoods of outcomes associated with sets of entities. The system generates alerts for reporting the outcomes based on the predictions.
    Type: Grant
    Filed: January 18, 2018
    Date of Patent: May 30, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chih Po Wen, Goutham Kurra
  • Patent number: 11074413
    Abstract: Computer-based implementations of context-sensitive salient keyword unit surfacing for multi-language comments are disclosed. A set of target keyword units in a target written language are caused by a computing system to be presented in a graphical user interface such as, for example, as part of a tag cloud or the like. The set of target keyword units are determined by the system by a context-sensitive mapping of a set of source keyword units in an intermediate written language to the set of target keyword units. The context sensitive mapping is constructed based on in-context machine translation of survey comments in the target language to the intermediate language and then identifying translation keyword unit pairs in the target language survey comments and the translated survey comments that represent a mapping of the in-context translation of a keyword unit in the target language to a keyword unit in the intermediate language.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: July 27, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Xiaoran Zhang, Goutham Kurra, Chih-Po Wen, Shane Combest
  • Patent number: 11030258
    Abstract: A system analyzes periodically collected data associated with entities, for example, users, servers, or systems. The system determines anomalies associated with populations of entities. The system excludes anomalies from consideration to increase efficiency of execution. The system may rank the anomalies based on relevance scores. The system determines relevance scores based on various factors describing the sets of entities. The system may present information describing the anomalies based on the ranking. The system may use a machine learning based model for predicting likelihoods of outcomes associated with sets of entities. The system generates alerts for reporting the outcomes based on the predictions.
    Type: Grant
    Filed: January 18, 2018
    Date of Patent: June 8, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chih Po Wen, Goutham Kurra
  • Publication number: 20200311203
    Abstract: Computer-based implementations of context-sensitive salient keyword unit surfacing for multi-language comments are disclosed. A set of target keyword units in a target written language are caused by a computing system to be presented in a graphical user interface such as, for example, as part of a tag cloud or the like. The set of target keyword units are determined by the system by a context-sensitive mapping of a set of source keyword units in an intermediate written language to the set of target keyword units. The context sensitive mapping is constructed based on in-context machine translation of survey comments in the target language to the intermediate language and then identifying translation keyword unit pairs in the target language survey comments and the translated survey comments that represent a mapping of the in-context translation of a keyword unit in the target language to a keyword unit in the intermediate language.
    Type: Application
    Filed: March 29, 2019
    Publication date: October 1, 2020
    Inventors: Xiaoran Zhang, Goutham Kurra, Chih-Po Wen, Shane Combest
  • Patent number: 10713321
    Abstract: A system analyzes periodically collected data associated with entities, for example, users, servers, or systems. The system determines anomalies associated with populations of entities. The system excludes anomalies from consideration to increase efficiency of execution. The system may rank the anomalies based on relevance scores. The system determines relevance scores based on various factors describing the sets of entities. The system may present information describing the anomalies based on the ranking. The system may use a machine learning based model for predicting likelihoods of outcomes associated with sets of entities. The system generates alerts for reporting the outcomes based on the predictions.
    Type: Grant
    Filed: January 18, 2018
    Date of Patent: July 14, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chih Po Wen, Goutham Kurra
  • Patent number: 10248648
    Abstract: An online system receives comments provided by users and analyzes them. The users may be associated with an organization, for example, employees of an enterprise may provide comments related to the enterprise. The online system classifies the comments to determine whether the comments are prescriptive or non-prescriptive. The online system may generate reports based on the classification of the comments. The online system may use a machine learning model for classifying the comments. The features used for the machine learning model include an indication of whether the input comment is associated with a question, n-grams from the comment, location of verbs in sentences, and so on.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: April 2, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Christopher Johannes Thomas, Chih Po Wen, Goutham Kurra
  • Patent number: 9990651
    Abstract: For each of various sites, a mathematical representation is computed according to prescribed characteristics of users that have conducted one or more predetermined types of interaction with the site. Cluster of the sites are identified whose computed representations are similar according to prescribed criteria. Responsive to notification of an opportunity to deliver unidentified advertising to a given user via a given site, at least one ad is selected based upon factors including the ad having a prescribed performance history at one or more clusters containing the given site. The selected ad is transmitted to the given user at the given site, or a bid is transmitted for such placement of the ad.
    Type: Grant
    Filed: November 17, 2010
    Date of Patent: June 5, 2018
    Assignee: Amobee, Inc.
    Inventors: Goutham Kurra, Wentong Li, Quan Lu
  • Publication number: 20160364746
    Abstract: A system for generating behavior segments and serving targeted ads. The system generates variables based on data from targeted users, incorporates recency, frequency, and velocity for the variables; optimizes the variables; converts the variables into behavior segments; and saves the behavior segments to a database. The system updates the behavior segments in real time. When a publisher requests an ad call, the system generates a score for advertisements based on the user profile, multiplies the score by the amount each advertiser is willing to pay for serving their ad, selects the highest value, and serves the ad.
    Type: Application
    Filed: May 10, 2016
    Publication date: December 15, 2016
    Applicant: Turn Inc.
    Inventors: Quan Lu, Xuhui Shao, Goutham Kurra, Dominic Bennett
  • Publication number: 20160171528
    Abstract: In a display advertising environment, within the constraint of a fixed advertising budget, and fixed or variable price per impression, delivery of the above mentioned budget is maintained as a priority by application of a pacing filter, while the click rate per impression (CTR), or action rate per impression (AR), is increased by application of a CTR/AR filter.
    Type: Application
    Filed: November 25, 2015
    Publication date: June 16, 2016
    Applicant: Turn Inc.
    Inventors: Andrey Svirsky, Goutham Kurra
  • Publication number: 20140058827
    Abstract: In a display advertising environment, within the constraint of a fixed advertising budget, and fixed or variable price per impression, delivery of the above mentioned budget is maintained as a priority by application of a pacing filter, while the click rate per impression (CTR), or action rate per impression (AR), is maximized by application of a CTR/AR filter.
    Type: Application
    Filed: August 27, 2012
    Publication date: February 27, 2014
    Inventors: Andrey SVIRSKY, Goutham KURRA
  • Publication number: 20120226563
    Abstract: A system for generating behavior segments and serving targeted ads. The system generates variables based on data from targeted users, incorporates recency, frequency, and velocity for the variables; optimizes the variables; converts the variables into behavior segments; and saves the behavior segments to a database. The system updates the behavior segments in real time. When a publisher requests an ad call, the system generates a score for advertisements based on the user profile, multiplies the score by the amount each advertiser is willing to pay for serving their ad, selects the highest value, and serves the ad.
    Type: Application
    Filed: May 10, 2012
    Publication date: September 6, 2012
    Inventors: Quan LU, Xuhui Shao, Goutham Kurra, Dominic Bennett
  • Publication number: 20120123862
    Abstract: For each of various sites, a mathematical representation is computed according to prescribed characteristics of users that have conducted one or more predetermined types of interaction with the site. Cluster of the sites are identified whose computed representations are similar according to prescribed criteria. Responsive to notification of an opportunity to deliver unidentified advertising to a given user via a given site, at least one ad is selected based upon factors including the ad having a prescribed performance history at one or more clusters containing the given site. The selected ad is transmitted to the given user at the given site, or a bid is transmitted for such placement of the ad.
    Type: Application
    Filed: November 17, 2010
    Publication date: May 17, 2012
    Inventors: Goutham KURRA, Wentong Li, Quan Lu
  • Publication number: 20100088177
    Abstract: A system for generating behavior segments and serving targeted ads. The system generates variables based on data from targeted users, incorporates recency, frequency, and velocity for the variables; optimizes the variables; converts the variables into behavior segments; and saves the behavior segments to a database. The system updates the behavior segments in real time. When a publisher requests an ad call, the system generates a score for advertisements based on the user profile, multiplies the score by the amount each advertiser is willing to pay for serving their ad, selects the highest value, and serves the ad.
    Type: Application
    Filed: November 12, 2009
    Publication date: April 8, 2010
    Applicant: TURN INC.
    Inventors: Quan LU, Xuhui SHAO, Goutham KURRA, Dominic BENNETT