Patents by Inventor Vasanthi Holtcamp
Vasanthi Holtcamp 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: 11960517Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate a dynamic cross-platform ask interface and utilize a cross-platform language processing model to provide platform-specific, contextually based responses to natural language digital text queries. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to extract registered intents from digital text queries to identify platform-specific configurations associated with the registered intents. Utilizing the platform-specific configurations, the disclosed systems can generate tailored platform-specific requests for information, as well as customized end-user search results that cause client devices to efficiently, accurately, and flexibly render platform-specific search results.Type: GrantFiled: July 22, 2021Date of Patent: April 16, 2024Assignee: Adobe Inc.Inventors: Piyush Gupta, Binit Kumar Sinha, Eunyee Koh, Fan Du, Gaurav Makkar, Silky Kedawat, Subrahmanya Kumar Giliyaru, Vasanthi Holtcamp, Nikhil Belsare
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Patent number: 11822525Abstract: Systems and methods for enterprise applications supported by common metadata repository are described. One or more aspects of the systems and methods include storing a plurality of entity schemas in a metadata repository, wherein each of the plurality of entity schemas corresponds to a different entity service from a plurality of entity services that interact with an application; storing a plurality of extension schemas in the metadata repository, wherein each of the plurality of extension schemas corresponds to a different extension service from a plurality of extension services utilized by the application; receiving, at the metadata repository from an extension service of the plurality of extension services, an entity schema request indicating an entity schema corresponding to an entity service of the plurality of entity services; and providing, from the metadata repository to the extension service, the entity schema in response to the entity schema request.Type: GrantFiled: March 7, 2022Date of Patent: November 21, 2023Assignee: ADOBE, INC.Inventors: Prantik Bhowmick, Piyush Gupta, Vinayak Fakira Jadhav, Wissam Zeidan, Narasimha Bharadwaj, Vasanthi Holtcamp
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Publication number: 20230306194Abstract: Systems and methods for data processing are described. Example embodiments include identifying chart data corresponding to a visual element of a user interface; selecting an insight type based on a chart category of the chart data; generating insight data for the insight type based on the chart data using a statistical measure corresponding to the insight type; generating an insight caption for the insight type by combining the insight data with a sentence template corresponding to the insight type; and communicating the insight caption to a user of the user interface.Type: ApplicationFiled: March 24, 2022Publication date: September 28, 2023Inventors: Fan Du, Cameron Elise Womack, Dylan Robert Kario, Molly Josette Bloom, Elizabeth Waters, Matthew Samuel Deutsch, Ryan Wilkes, Yeuk-Yin Chan, Eunyee Koh, Andrew Douglas Thomson, Cole Edward Connelly, Saurabh Mahapatra, Vasanthi Holtcamp
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Publication number: 20230306033Abstract: Embodiments provide systems, methods, and computer storage media for management, assessment, navigation, and/or discovery of data based on data quality, consumption, and/or utility metrics. Data may be assessed using attribute-level and/or record-level metrics that quantify data: “quality” - the condition of data (e.g., presence of incorrect or incomplete values), its “consumption” - the tracked usage of data in downstream applications (e.g., utilization of attributes in dashboard widgets or customer segmentation rules), and/or its “utility” - a quantifiable impact resulting from the consumption of data (e.g., revenue or number of visits resulting from marketing campaigns that use particular datasets, storage costs of data). This data assessment may be performed at different stages of a data intake, preparation, and/or modeling lifecycle.Type: ApplicationFiled: March 14, 2022Publication date: September 28, 2023Inventors: Arpit Ajay Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Elizabeth Hoffswell, Shunan Guo, Eunyee Koh, John Anderson, Sonali Surange, Saurabh Mahapatra, Vasanthi Holtcamp
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Publication number: 20230289839Abstract: Embodiments provide systems, methods, and computer storage media for management, assessment, navigation, and/or discovery of data based on data quality, consumption, and/or utility metrics. Data may be assessed using attribute-level and/or record-level metrics that quantify data: “quality”—the condition of data (e.g., presence of incorrect or incomplete values), its “consumption”—the tracked usage of data in downstream applications (e.g., utilization of attributes in dashboard widgets or customer segmentation rules), and/or its “utility”—a quantifiable impact resulting from the consumption of data (e.g., revenue or number of visits resulting from marketing campaigns that use particular datasets, storage costs of data). This data assessment may be performed at different stages of a data intake, preparation, and/or modeling lifecycle.Type: ApplicationFiled: March 14, 2022Publication date: September 14, 2023Inventors: Arpit Ajay Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Elizabeth Hoffswell, Shunan Guo, Eunyee Koh, John Anderson, Sonali Surange, Saurabh Mahapatra, Vasanthi Holtcamp
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Publication number: 20230289696Abstract: Embodiments provide systems, methods, and computer storage media for management, assessment, navigation, and/or discovery of data based on data quality, consumption, and/or utility metrics. Data may be assessed using attribute-level and/or record-level metrics that quantify data: “quality”—the condition of data (e.g., presence of incorrect or incomplete values), its “consumption”—the tracked usage of data in downstream applications (e.g., utilization of attributes in dashboard widgets or customer segmentation rules), and/or its “utility”—a quantifiable impact resulting from the consumption of data (e.g., revenue or number of visits resulting from marketing campaigns that use particular datasets, storage costs of data). This data assessment may be performed at different stages of a data intake, preparation, and/or modeling lifecycle.Type: ApplicationFiled: March 14, 2022Publication date: September 14, 2023Inventors: Arpit Ajay Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Elizabeth Hoffswell, Shunan Guo, Eunyee Koh, John Anderson, Sonali Surange, Saurabh Mahapatra, Vasanthi Holtcamp
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Publication number: 20230281171Abstract: Systems and methods for enterprise applications supported by common metadata repository are described. One or more aspects of the systems and methods include storing a plurality of entity schemas in a metadata repository, wherein each of the plurality of entity schemas corresponds to a different entity service from a plurality of entity services that interact with an application; storing a plurality of extension schemas in the metadata repository, wherein each of the plurality of extension schemas corresponds to a different extension service from a plurality of extension services utilized by the application; receiving, at the metadata repository from an extension service of the plurality of extension services, an entity schema request indicating an entity schema corresponding to an entity service of the plurality of entity services; and providing, from the metadata repository to the extension service, the entity schema in response to the entity schema request.Type: ApplicationFiled: March 7, 2022Publication date: September 7, 2023Inventors: Prantik Bhowmick, Piyush Gupta, Vinayak Fakira Jadhav, Wissam Zeidan, Narasimha Bharadwaj, Vasanthi Holtcamp
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Patent number: 11720590Abstract: Systems and methods for personalized visualization recommendation are described.Type: GrantFiled: November 6, 2020Date of Patent: August 8, 2023Assignee: ADOBE INC.Inventors: Ryan Rossi, Vasanthi Holtcamp, Tak Yeon Lee, Sungchul Kim, Sana Lee, Nathan Ross, John Anderson, Fan Du, Eunyee Koh, Xin Qian
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Publication number: 20230030341Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a dynamic user interface and machine learning tools to generate data-driven digital content and multivariate testing recommendations for distributing digital content across computer networks. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to generate digital recommendations at multiple development stages of digital communications that are targeted on particular performance metrics. For example, the disclosed systems utilize historical information and recipient profile data to generate recommendations for digital communication templates, fragment variants of content fragments, and content variants of digital content items.Type: ApplicationFiled: July 22, 2021Publication date: February 2, 2023Inventors: Eunyee Koh, Tak Yeon Lee, Andrew Thomson, Vasanthi Holtcamp, Ryan Rossi, Fan Du, Caroline Kim, Tong Yu, Shunan Guo, Nedim Lipka, Shriram Venkatesh Shet Revankar, Nikhil Belsare
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Publication number: 20230021797Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate a dynamic cross-platform ask interface and utilize a cross-platform language processing model to provide platform-specific, contextually based responses to natural language digital text queries. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to extract registered intents from digital text queries to identify platform-specific configurations associated with the registered intents. Utilizing the platform-specific configurations, the disclosed systems can generate tailored platform-specific requests for information, as well as customized end-user search results that cause client devices to efficiently, accurately, and flexibly render platform-specific search results.Type: ApplicationFiled: July 22, 2021Publication date: January 26, 2023Inventors: Piyush Gupta, Binit Kumar Sinha, Eunyee Koh, Fan Du, Gaurav Makkar, Silky Kedawat, Subrahmanya Kumar Giliyaru, Vasanthi Holtcamp, Nikhil Belsare
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Publication number: 20220147540Abstract: Systems and methods for personalized visualization recommendation are described.Type: ApplicationFiled: November 6, 2020Publication date: May 12, 2022Inventors: RYAN Rossi, Vasanthi Holtcamp, Tak Yeon Lee, Sungchul Kim, Sana Lee, Nathan Ross, John Anderson, Fan Du, Eunyee Koh, Xin Qian
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Publication number: 20220100714Abstract: Systems and methods for lifelong schema matching are described. The systems and methods include receiving data comprising a plurality of information categories, classifying each information category according to a schema comprising a plurality of classes, wherein the classification is performed by a neural network classifier trained based on a lifelong learning technique using a plurality of exemplar training sets, wherein each of the exemplar training sets includes a plurality of examples corresponding to one of the classes, and wherein the examples are selected based on a metric indicating how well each of the examples represents the corresponding class, and adding the data to a database based on the classification, wherein the database is organized according to the schema.Type: ApplicationFiled: September 29, 2020Publication date: March 31, 2022Inventors: Handong Zhao, Yikun Xian, Sungchul Kim, Tak Yeon Lee, Nikhil Belsare, Shashi Kant Rai, Vasanthi Holtcamp, Thomas Jacobs, Duy-Trung T. Dinh, Caroline Jiwon Kim
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Patent number: 11288541Abstract: This disclosure involves generating, from a user data set, a ranked list of recommended secondary variables in a user interface field similar to primary variable selected in another user interface field. A system receives a data set having variables and corresponding sets of values. The data visualization system determines a feature vector for each variable based on statistics of a corresponding values set. The system generates a variable similarity graph having nodes representing variables and links representing degrees of similarity between feature vectors of variables. The system receives a selection of a first variable via a first field of the user interface, detects a selection of a second field, and identifies a relationship between the first field and the second field. The system generates a contextual menu of recommended secondary variables for use with the selected first variable based on similarity value of the links in the variable similarity graph.Type: GrantFiled: September 9, 2020Date of Patent: March 29, 2022Assignee: Adobe Inc.Inventors: Ryan Rossi, Vasanthi Holtcamp, Tak Yeon Lee, Sana Lee, Nathan Ross, John Anderson, Fan Du, Eunyee Koh
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Publication number: 20220076048Abstract: This disclosure involves generating, from a user data set, a ranked list of recommended secondary variables in a user interface field similar to primary variable selected in another user interface field. A system receives a data set having variables and corresponding sets of values. The data visualization system determines a feature vector for each variable based on statistics of a corresponding values set. The system generates a variable similarity graph having nodes representing variables and links representing degrees of similarity between feature vectors of variables. The system receives a selection of a first variable via a first field of the user interface, detects a selection of a second field, and identifies a relationship between the first field and the second field. The system generates a contextual menu of recommended secondary variables for use with the selected first variable based on similarity value of the links in the variable similarity graph.Type: ApplicationFiled: September 9, 2020Publication date: March 10, 2022Inventors: Ryan Rossi, Vasanthi Holtcamp, Tak Yeon Lee, Sana Lee, Nathan Ross, John Anderson, Fan Du, Eunyee Koh