Patents by Inventor Son Thanh Chang
Son Thanh Chang 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: 11314790Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.Type: GrantFiled: April 28, 2020Date of Patent: April 26, 2022Assignee: salesforce.com, inc.Inventors: Son Thanh Chang, Weiping Peng, Na Cheng, Feifei Jiang, Jacob Nathaniel Huffman, Nandini Suresh Kumar, Khoa Le, Christopher Larry
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Patent number: 11301766Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.Type: GrantFiled: December 22, 2020Date of Patent: April 12, 2022Assignee: salesforce.com, inc.Inventors: Kristen Noriko Muramoto, Son Thanh Chang, Clement Jacques Antoine Tussoit, Melissa Hoang, Chaitanya Malla, Orjan N. Kjellberg, Carlos Enrique Mogollan Jimenez, George Hu
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Publication number: 20210182716Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.Type: ApplicationFiled: December 22, 2020Publication date: June 17, 2021Applicant: salesforce.com, inc.Inventors: Kristen Noriko Muramoto, Son Thanh Chang, Clement Jacques Antoine Tussoit, Melissa Hoang, Chaitanya Malla, Orjan N. Kjellberg, Carlos Enrique Mogollan Jimenez, George Hu
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Publication number: 20210149933Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.Type: ApplicationFiled: April 28, 2020Publication date: May 20, 2021Applicant: salesforce.com, Inc.Inventors: Son Thanh Chang, Weiping Peng, Na Cheng, Feifei Jiang, Jacob Nathaniel Huffman, Nandini Suresh Kumar, Khoa Le, Christopher Larry
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Patent number: 10915827Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.Type: GrantFiled: November 21, 2018Date of Patent: February 9, 2021Assignee: salesforce.com, inc.Inventors: Kristen Noriko Muramoto, Son Thanh Chang, Clement Jacques Antoine Tussoit, Melissa Hoang, Chaitanya Malla, Orjan N. Kjellberg, Carlos Enrique Mogollan Jimenez, George Hu
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Publication number: 20200097846Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.Type: ApplicationFiled: November 21, 2018Publication date: March 26, 2020Inventors: Kristen Noriko MURAMOTO, Son Thanh CHANG, Clement Jacques Antoine TUSSOIT, Melissa HOANG, Chaitanya MALLA, Orjan N. Kjellberg, Carlos Enrique Mogollan JIMENEZ, George HU
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Patent number: 10552464Abstract: A database system may generate a new case associated with a customer support query. The database system may initiate a search for other cases related to the new case and identify articles linked to the related cases. The database system may identify more relevant articles by finding the related cases that use a similar vocabulary for describing similar customer problems. The database system then identifies the articles used for resolving the prior problems. Thus, the database system may bridge the gap between vocabularies used by customers to describe problems and vocabularies used in articles to describe solutions to those problems.Type: GrantFiled: December 18, 2014Date of Patent: February 4, 2020Assignee: SALESFORCE.COM, INC.Inventors: Bruno Roustant, Marc Brette, Pierre-Yves Chevalier, Francois Lopitaux, Ghislain Brun, Ilan Ginzburg, Jean-Baptiste Charlety, Pierre Salagnac, Son Thanh Chang
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Publication number: 20160179906Abstract: A database system may generate a new case associated with a customer support query. The database system may initiate a search for other cases related to the new case and identify articles linked to the related cases. The database system may identify more relevant articles by finding the related cases that use a similar vocabulary for describing similar customer problems. The database system then identifies the articles used for resolving the prior problems. Thus, the database system may bridge the gap between vocabularies used by customers to describe problems and vocabularies used in articles to describe solutions to those problems.Type: ApplicationFiled: December 18, 2014Publication date: June 23, 2016Inventors: Bruno ROUSTANT, Marc Brette, Pierre-Yves Chevalier, Francois Lopitaux, Ghislain Brun, Ilan Ginzburg, Jean-Baptiste Charlety, Pierre Salagnac, Son Thanh Chang