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).
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Patent number: 11663220Abstract: 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: GrantFiled: January 18, 2018Date of Patent: May 30, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Chih Po Wen, Goutham Kurra
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Patent number: 11074413Abstract: 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: GrantFiled: March 29, 2019Date of Patent: July 27, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Xiaoran Zhang, Goutham Kurra, Chih-Po Wen, Shane Combest
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Patent number: 11030258Abstract: 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: GrantFiled: January 18, 2018Date of Patent: June 8, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Chih Po Wen, Goutham Kurra
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Publication number: 20200311203Abstract: 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: ApplicationFiled: March 29, 2019Publication date: October 1, 2020Inventors: Xiaoran Zhang, Goutham Kurra, Chih-Po Wen, Shane Combest
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Patent number: 10713321Abstract: 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: GrantFiled: January 18, 2018Date of Patent: July 14, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Chih Po Wen, Goutham Kurra
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Patent number: 10248648Abstract: 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: GrantFiled: March 30, 2017Date of Patent: April 2, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Christopher Johannes Thomas, Chih Po Wen, Goutham Kurra
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Patent number: 9990651Abstract: 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: GrantFiled: November 17, 2010Date of Patent: June 5, 2018Assignee: Amobee, Inc.Inventors: Goutham Kurra, Wentong Li, Quan Lu
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Publication number: 20160364746Abstract: 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: ApplicationFiled: May 10, 2016Publication date: December 15, 2016Applicant: Turn Inc.Inventors: Quan Lu, Xuhui Shao, Goutham Kurra, Dominic Bennett
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Publication number: 20160171528Abstract: 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: ApplicationFiled: November 25, 2015Publication date: June 16, 2016Applicant: Turn Inc.Inventors: Andrey Svirsky, Goutham Kurra
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Publication number: 20140058827Abstract: 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: ApplicationFiled: August 27, 2012Publication date: February 27, 2014Inventors: Andrey SVIRSKY, Goutham KURRA
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Publication number: 20120226563Abstract: 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: ApplicationFiled: May 10, 2012Publication date: September 6, 2012Inventors: Quan LU, Xuhui Shao, Goutham Kurra, Dominic Bennett
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Publication number: 20120123862Abstract: 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: ApplicationFiled: November 17, 2010Publication date: May 17, 2012Inventors: Goutham KURRA, Wentong Li, Quan Lu
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Publication number: 20100088177Abstract: 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: ApplicationFiled: November 12, 2009Publication date: April 8, 2010Applicant: TURN INC.Inventors: Quan LU, Xuhui SHAO, Goutham KURRA, Dominic BENNETT