Patents by Inventor David Suarez
David Suarez 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: 20250258586Abstract: A computer system receives, while a first user is participating in a shared playback session that includes the first user and a plurality of users other than the first user, a request for a set of recommended media items. In response to receiving the request, the computer system: retrieves a first set of media items from a playback history of the first user; retrieves a plurality of probabilistic data structures for the plurality of users other than the first user, each probabilistic data structure indicating a playback history of a respective user of the plurality of users other than the first user; and provides, for display in a user interface, the set of recommended media items that comprises a subset of the first set of media items selected based on the playback histories of the plurality of users as indicated by the plurality of probabilistic data structures.Type: ApplicationFiled: February 14, 2024Publication date: August 14, 2025Inventors: Jennifer LAMERE, Gerson Luis FERREIRA DA SILVA FILHO, Jeremy HOPPLE, Maia EZRATTY, Julia ESKEW, David SUAREZ, Mike MOSCARDINI, Evelyn LUCAS, Michael MAZZOLA
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Patent number: 12165671Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.Type: GrantFiled: November 13, 2023Date of Patent: December 10, 2024Assignee: Amazon TechnologiesInventors: Gregory Newell, Eliav Kahan, Ravi Chandra Reddy Yasa, David Suarez, Joel Toledano
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Publication number: 20240153525Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.Type: ApplicationFiled: November 13, 2023Publication date: May 9, 2024Inventors: Gregory Newell, Eliav Kahan, Ravi Chandra Reddy Yasa, David Suarez, Joel Toledano
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Patent number: 11854573Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.Type: GrantFiled: September 10, 2020Date of Patent: December 26, 2023Assignee: Amazon Technologies, Inc.Inventors: Gregory Newell, Eliav Kahan, Ravi Chandra Reddy Yasa, David Suarez, Joel Toledano
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Publication number: 20200411037Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.Type: ApplicationFiled: September 10, 2020Publication date: December 31, 2020Inventors: Gregory Newell, Eliav Kahan, Ravi Chandra Reddy Yasa, David Suarez, Joel Toledano
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Patent number: 10783901Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.Type: GrantFiled: December 10, 2018Date of Patent: September 22, 2020Assignee: AMAZON TECHNOLOGIES, INC.Inventors: Gregory Newell, Eliav Kahan, Ravi Chandra Reddy Yasa, David Suarez, Joel Toledano
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Publication number: 20200184992Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.Type: ApplicationFiled: December 10, 2018Publication date: June 11, 2020Inventors: Gregory Newell, Eliav Kahan, Ravi Chandra Reddy Yasa, David Suarez, Joel Toledano