Patents by Inventor Christopher David Fox
Christopher David Fox 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: 11985102Abstract: A message suggestion service may use clusters of pre-approved messages to improve the quality of messages suggested to users. During a conversation, messages of the conversation may be processed with a neural network to compute a conversation encoding vector. The neural network may also be used to compute pre-approved message encoding vectors of the pre-approved messages. Distances between the conversation encoding vector and the pre-approved message encoding vectors may be used to select one or more clusters. Distances between the conversation encoding vector and the pre-approved message encoding vectors may then be used to select one or more pre-approved messages from the selected clusters. The selected pre-approved messages may then be presented as suggested messages to a user.Type: GrantFiled: April 30, 2021Date of Patent: May 14, 2024Assignee: ASAPP, INC.Inventors: William Abraham Wolf, Melanie Sclar, Clemens Georg Benedict Rosenbaum, Christopher David Fox, Kilian Quirin Weinberger
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Patent number: 11956187Abstract: A company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent. In some instances, a first communications session may be started between a first user and a second user. During the first communications session, one or more communications may be processed to select an intent of the first user and a value of an information item communicated by the first user. An automated workflow may be selected to continue assisting the first user, and the first user may be transferred to a second communications session with the automated workflow. The automated workflow may be initialized with the value of the information item that was provided during the first communications session so that the first user does not need to repeat information.Type: GrantFiled: February 2, 2023Date of Patent: April 9, 2024Assignee: ASAPP, INC.Inventors: Joseph Ellsworth Hackman, Christopher David Fox, Jonathan David Weese, Satchuthananthavale Rasiah Kuhan Branavan, Tao Lei
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Publication number: 20230179548Abstract: A company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent. In some instances, a first communications session may be started between a first user and a second user. During the first communications session, one or more communications may be processed to select an intent of the first user and a value of an information item communicated by the first user. An automated workflow may be selected to continue assisting the first user, and the first user may be transferred to a second communications session with the automated workflow. The automated workflow may be initialized with the value of the information item that was provided during the first communications session so that the first user does not need to repeat information.Type: ApplicationFiled: February 2, 2023Publication date: June 8, 2023Inventors: Joseph Ellsworth Hackman, Christopher David Fox, Jonathan David Weese, Satchuthananthavale Rasiah Kuhan Branavan, Tao Lei
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Patent number: 11588760Abstract: A company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent. In some instances, a first communications session may be started between a first user and a second user. During the first communications session, one or more communications may be processed to select an intent of the first user and a value of an information item communicated by the first user. An automated workflow may be selected to continue assisting the first user, and the first user may be transferred to a second communications session with the automated workflow. The automated workflow may be initialized with the value of the information item that was provided during the first communications session so that the first user does not need to repeat information.Type: GrantFiled: July 4, 2019Date of Patent: February 21, 2023Assignee: ASAPP, INC.Inventors: Joseph Ellsworth Hackman, Christopher David Fox, Jonathan David Weese, Satchuthananthavale Rasiah Kuhan Branavan, Tao Lei
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Patent number: 11588759Abstract: A company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent. Companies may provide support over different types of communications channels with different capabilities, such as voice channels and text channels. Instead of implementing different workflows for different channels, a company may separate aspects of the workflow that are common to different channels from aspects of the workflow that are different for different channels. For example, a workflow may be implemented to determine an action in response to a received communication where the action may be used with multiple channels. The action may then be used to select an action implementation that is specific to a channel.Type: GrantFiled: July 4, 2019Date of Patent: February 21, 2023Assignee: ASAPP, INC.Inventors: Mitchell Steven Morgan, Frederick William Poe Heckel, Priya Sawant, Adrien Brochard, Christopher David Fox, Tao Lei, Joseph Ellsworth Hackman
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Publication number: 20220353222Abstract: A message suggestion service may use clusters of pre-approved messages to improve the quality of messages suggested to users. During a conversation, messages of the conversation may be processed with a neural network to compute a conversation encoding vector. The neural network may also be used to compute pre-approved message encoding vectors of the pre-approved messages. Distances between the conversation encoding vector and the pre-approved message encoding vectors may be used to select one or more clusters. Distances between the conversation encoding vector and the pre-approved message encoding vectors may then be used to select one or more pre-approved messages from the selected clusters. The selected pre-approved messages may then be presented as suggested messages to a user.Type: ApplicationFiled: April 30, 2021Publication date: November 3, 2022Inventors: William Abraham Wolf, Melanie Sclar, Clemens Georg Benedict Rosenbaum, Christopher David Fox, Kilian Quirin Weinberger
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Publication number: 20220337538Abstract: A message may be suggested to a user participating in a conversation using one or more neural networks where the suggested message is adapted to the preferences or communication style of the user. The suggested message may be adapted to the user with a user embedding vector that represents the preferences or communication style of the user in a vector space. To suggest a message to the user, a conversation feature vector may be computed by processing the text of the conversation with a neural network. A context score may be computed for one or more designated messages, where the context score is computed by processing the user embedding vector, the conversation feature vector, and a designated message feature vector with a neural network. A designated message may be selected as a suggested message for the user using the context scores. The suggestion may then be presented to the user.Type: ApplicationFiled: July 1, 2022Publication date: October 20, 2022Inventors: Kelsey Taylor Ball, Tao Lei, Christopher David Fox, Joseph Ellsworth Hackman
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Patent number: 11425064Abstract: A message may be suggested to a user participating in a conversation using one or more neural networks where the suggested message is adapted to the preferences or communication style of the user. The suggested message may be adapted to the user with a user embedding vector that represents the preferences or communication style of the user in a vector space. To suggest a message to the user, a conversation feature vector may be computed by processing the text the conversation with a neural network. A context score may be computed for one or more designated messages, where the context score is computed by processing the user embedding vector, the conversation feature vector, and a designated message feature vector with a neural network. A designated message may be selected as a suggested message for the user using the context scores. The suggestion may then presented to the user.Type: GrantFiled: October 25, 2019Date of Patent: August 23, 2022Assignee: ASAPP, INC.Inventors: Kelsey Taylor Ball, Tao Lei, Christopher David Fox, Joseph Ellsworth Hackman
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Patent number: 11373044Abstract: Machine learning models may be used during a communications session to process natural language communications and perform actions relating to the communications session. For example, a machine learning model may be used to provide an automated response to a user, to suggest a completion of text being entered by a user, or to provide information about a relevant resource. Machine learning models may rely on machine learning model data that is updated during a communications session as communications are processed by the machine learning model. To improve the performance of a machine learning model when a user leaves a first communications session and enters a second communications session, the machine learning model data may be stored during a first communications session and then retrieved during the second communications session to initialize a machine learning model for the second communications session.Type: GrantFiled: July 4, 2019Date of Patent: June 28, 2022Assignee: ASAPP, INC.Inventors: Christopher David Fox, Tao Lei, Joseph Ellsworth Hackman
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Publication number: 20210126881Abstract: A message may be suggested to a user participating in a conversation using one or more neural networks where the suggested message is adapted to the preferences or communication style of the user. The suggested message may be adapted to the user with a user embedding vector that represents the preferences or communication style of the user in a vector space. To suggest a message to the user, a conversation feature vector may be computed by processing the text the conversation with a neural network. A context score may be computed for one or more designated messages, where the context score is computed by processing the user embedding vector, the conversation feature vector, and a designated message feature vector with a neural network. A designated message may be selected as a suggested message for the user using the context scores. The suggestion may then presented to the user.Type: ApplicationFiled: October 25, 2019Publication date: April 29, 2021Inventors: Kelsey Taylor Ball, Tao Lei, Christopher David Fox, Joseph Ellsworth Hackman
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Publication number: 20200327192Abstract: A company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent. In some instances, a first communications session may be started between a first user and a second user. During the first communications session, one or more communications may be processed to select an intent of the first user and a value of an information item communicated by the first user. An automated workflow may be selected to continue assisting the first user, and the first user may be transferred to a second communications session with the automated workflow. The automated workflow may be initialized with the value of the information item that was provided during the first communications session so that the first user does not need to repeat information.Type: ApplicationFiled: July 4, 2019Publication date: October 15, 2020Inventors: Joseph Ellsworth Hackman, Christopher David Fox, Jonathan David Weese, Satchuthananthavale Rasiah Kuhan Branavan, Tao Lei
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Publication number: 20200329144Abstract: A company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent. Companies may provide support over different types of communications channels with different capabilities, such as voice channels and text channels. Instead of implementing different workflows for different channels, a company may separate aspects of the workflow that are common to different channels from aspects of the workflow that are different for different channels. For example, a workflow may be implemented to determine an action in response to a received communication where the action may be used with multiple channels. The action may then be used to select an action implementation that is specific to a channel.Type: ApplicationFiled: July 4, 2019Publication date: October 15, 2020Inventors: Mitchell Steven Morgan, Frederick William Poe Heckel, Priya Sawant, Adrien Brochard, Christopher David Fox, Tao Lei, Joseph Ellsworth Hackman
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Publication number: 20200327892Abstract: Machine learning models may be used during a communications session to process natural language communications and perform actions relating to the communications session. For example, a machine learning model may be used to provide an automated response to a user, to suggest a completion of text being entered by a user, or to provide information about a relevant resource. Machine learning models may rely on machine learning model data that is updated during a communications session as communications are processed by the machine learning model. To improve the performance of a machine learning model when a user leaves a first communications session and enters a second communications session, the machine learning model data may be stored during a first communications session and then retrieved during the second communications session to initialize a machine learning model for the second communications session.Type: ApplicationFiled: July 4, 2019Publication date: October 15, 2020Inventors: Christopher David Fox, Tao Lei, Joseph Ellsworth Hackman
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Publication number: 20200019609Abstract: A neural network may be used to suggest a response to a received message. One or more messages of a conversation may be processed to generate a conversation feature vector that describes the conversation. The conversation feature vector may be used to select a template from a data store of templates. For example, each template may be associated with a template feature vector, and the template whose template feature vector is closest to the conversation feature vector may be selected. The selected template may have a slot corresponding to a class of words, such as a person's name. A text value may be obtained corresponding to the slot (e.g., a person's name), and the template and the text value may be used to suggest a response to the received message. A person may select the suggested response to cause the suggested response to be sent as a message.Type: ApplicationFiled: July 13, 2018Publication date: January 16, 2020Inventors: Lili Yu, Christopher David Fox, Shawn Henry