Patents by Inventor Shrestha Basu Mallick
Shrestha Basu Mallick 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: 20240144328Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.Type: ApplicationFiled: January 5, 2024Publication date: May 2, 2024Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
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Patent number: 11900424Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.Type: GrantFiled: December 28, 2021Date of Patent: February 13, 2024Assignee: Salesforce, Inc.Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
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Patent number: 11475207Abstract: Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.Type: GrantFiled: June 15, 2020Date of Patent: October 18, 2022Assignee: Salesforce, Inc.Inventors: Kexin Xie, Gokhan Cagrici, Daniel Keith Wilson, Shrestha Basu Mallick, Jonathan Daniel Showers Belkowitz, Jason Lestina, James Brewer, Daniel Louis Gasperut, Jeffery Allen Zickgraf, Greg Lyman, Michael Ronald Brewer, Evan Black, Austin Rauschuber, Victoria Schultz, Matthew David Trepina, Peter Stadlinger
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Patent number: 11425084Abstract: A cloud platform supports a digital communication system that identifies recommended communication frequencies based on past communication data. The cloud platform may support blending of weights applied to different engagement rates. Based on the weights, the system identifies recommended frequency ranges to maximize engagement rates, including the blended engagement rate using a redistribution simulation process.Type: GrantFiled: July 9, 2019Date of Patent: August 23, 2022Assignee: Salesforce, Inc.Inventors: Yuxi Zhang, Kexin Xie, Sheng Loong Su, Shrestha Basu Mallick
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Publication number: 20220198529Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.Type: ApplicationFiled: December 28, 2021Publication date: June 23, 2022Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
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Patent number: 11210712Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.Type: GrantFiled: July 24, 2019Date of Patent: December 28, 2021Assignee: salesforce.com, inc.Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
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Publication number: 20210157974Abstract: Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.Type: ApplicationFiled: June 15, 2020Publication date: May 27, 2021Inventors: Kexin Xie, Gokhan Cagrici, Daniel Keith Wilson, Shrestha Basu Mallick, Jonathan Daniel Showers Belkowitz, Jason Lestina, James Brewer, Daniel Louis Gasperut, Jeffrey Allen Zickgraf, Greg Lyman, Michael Ronald Brewer, Evan Black, Austin Rauschuber, Victoria Schultz, Matthew David Trepina, Peter Stadlinger
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Publication number: 20210027338Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.Type: ApplicationFiled: July 24, 2019Publication date: January 28, 2021Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
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Patent number: 10826852Abstract: A database server may receive or monitor user engagement metadata corresponding to a plurality of communication messages transmitted to the users. The database server analyzes the metadata to determine optimal transmission frequencies for digital communication messages based on engagement rates received in the user engagement metadata.Type: GrantFiled: October 31, 2018Date of Patent: November 3, 2020Assignee: salesforce.com, inc.Inventors: Zhao Jin, Shrestha Basu Mallick, Yacov Salomon, Kexin Xie, Sheng Loong Su, Todd Swardenski, Trent Albright, Armita Peymandoust, Michael Jones, Brian Brechbuhl, David Yourdon
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Publication number: 20200322307Abstract: A cloud platform supports a digital communication system that identifies recommended communication frequencies based on past communication data. The cloud platform may support blending of weights applied to different engagement rates. Based on the weights, the system identifies recommended frequency ranges to maximize engagement rates, including the blended engagement rate using a redistribution simulation process.Type: ApplicationFiled: July 9, 2019Publication date: October 8, 2020Inventors: Yuxi Zhang, Kexin Xie, Sheng Loong Su, Shrestha Basu Mallick
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Publication number: 20200137008Abstract: A database server may receive or monitor user engagement metadata corresponding to a plurality of communication messages transmitted to the users. The database server analyzes the metadata to determine optimal transmission frequencies for digital communication messages based on engagement rates received in the user engagement metadata.Type: ApplicationFiled: October 31, 2018Publication date: April 30, 2020Inventors: Zhao Jin, Shrestha Basu Mallick, Yacov Salomon, Kexin Xie, Sheng Loong Su, Todd Swardenski, Trent Albright, Armita Peymandoust, Michael Jones, Brian Brechbuhl, David Yourdon
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Publication number: 20200134683Abstract: Computing systems, database systems, and related methods are provided for guiding a user defining a quote for a product. One method involves a server obtaining one or more values for one or more attributes of a quote from a client device coupled to the server over a network, obtaining an expected pricing model for the quote from a database, determining expected pricing information for the quote based on the one or more values for the one or more attributes using the model, and providing a graphical indication of the expected pricing information on the client device. The expected pricing model is determined based on historical relationships between quote attributes and price for previously-closed quotes.Type: ApplicationFiled: October 31, 2018Publication date: April 30, 2020Applicant: salesforce.com, inc.Inventors: Daniel Boren, Shrestha Basu Mallick, Glenn Dearing, Robert DeSisto, Arun Kumar Jagota
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Patent number: 8548283Abstract: An optical structure includes an optical waveguide and at least one photonic crystal structure. The optical structure also includes a structural portion mechanically coupled to the optical waveguide and the at least one photonic crystal structure such that a region substantially bounded by the structural portion, the optical waveguide, and the at least one photonic crystal structure has a specified volume.Type: GrantFiled: July 20, 2012Date of Patent: October 1, 2013Assignee: The Board of Trustees of the Leland Stanford Junior UniversityInventors: Onur Kilic, Michel J. F. Digonnet, Gordon S. Kino, Olav Solgaard, Shrestha Basu Mallick, Onur Can Akkaya
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Publication number: 20130022307Abstract: An optical structure includes an optical waveguide and at least one photonic crystal structure. The optical structure also includes a structural portion mechanically coupled to the optical waveguide and the at least one photonic crystal structure such that a region substantially bounded by the structural portion, the optical waveguide, and the at least one photonic crystal structure has a specified volume.Type: ApplicationFiled: July 20, 2012Publication date: January 24, 2013Applicant: The Board of Trustees of the Leland Stanford Junior UniversityInventors: Onur Kilic, Michel J.F. Digonnet, Gordon S. Kino, Olav Solgaard, Shrestha Basu Mallick, Onur Can Akkaya
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Patent number: 8249400Abstract: An optical structure on an optical fiber and a method of fabrication is provided. The optical structure includes an end of an optical fiber and a layer formed on the end of the optical fiber. The layer comprises one or more first portions having a first optical pathlength in a direction perpendicular to the layer and one or more second portions having a second optical pathlength in the direction perpendicular to the layer, the second optical pathlength different from the first optical pathlength.Type: GrantFiled: October 8, 2009Date of Patent: August 21, 2012Assignee: The Board of Trustees of the Leland Stanford Junior UniversityInventors: Onur Kilic, Michel J. F. Digonnet, Gordon S. Kino, Olav Solgaard, Shrestha Basu Mallick, Onur Can Akkaya
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Publication number: 20100092125Abstract: An optical structure on an optical fiber and a method of fabrication is provided. The optical structure includes an end of an optical fiber and a layer formed on the end of the optical fiber. The layer comprises one or more first portions having a first optical pathlength in a direction perpendicular to the layer and one or more second portions having a second optical pathlength in the direction perpendicular to the layer, the second optical pathlength different from the first optical pathlength.Type: ApplicationFiled: October 8, 2009Publication date: April 15, 2010Applicant: The Board of Trustees of the Leland Stanford Junior UniversityInventors: Onur Kilic, Michel J.F. Digonnet, Gordon S. Kino, Olav Solgaard, Shrestha Basu Mallick, Onur Can Akkaya
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Patent number: 7630589Abstract: An acoustic sensor and a method of fabricating an acoustic sensor are provided. The acoustic sensor includes at least one photonic crystal structure and an optical fiber having an end optically coupled to the at least one photonic crystal structure. The acoustic sensor further includes a structural portion mechanically coupled to the at least one photonic crystal structure and to the optical fiber. The at least one photonic crystal structure, the optical fiber, and the structural portion substantially bound a region having a volume such that a frequency response of the acoustic sensor is generally flat in a range of acoustic frequencies.Type: GrantFiled: January 9, 2008Date of Patent: December 8, 2009Assignee: The Board of Trustees of the Leland Stanford Junior UniversityInventors: Onur Kilic, Michel J. F. Digonnet, Gordon S. Kino, Olav Solgaard, Shrestha Basu Mallick, Onur Can Akkaya