Christopher B Fox

US Patent:

20220353222, Nov 3, 2022

Filed:

Apr 30, 2021

Appl. No.:

17/246263

Inventors:

- New York NY, US
Melanie Sclar - Ciudad Autonoma de Buenos Aires, AR
Clemens Georg Benedict Rosenbaum - Brooklyn NY, US
Christopher David Fox - Mastic NY, US
Kilian Quirin Weinberger - Ithaca NY, US

International Classification:

H04L 12/58
G06N 3/04

Abstract:

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.

US Patent:

20220337538, Oct 20, 2022

Filed:

Jul 1, 2022

Appl. No.:

17/856752

Inventors:

- New York NY, US
Tao Lei - Jersey City NJ, US
Christopher David Fox - Mastic NY, US
Joseph Ellsworth Hackman - New York NY, US

International Classification:

H04L 51/046
G06N 3/04
G06F 40/56

Abstract:

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.

US Patent:

20220292333, Sep 15, 2022

Filed:

Feb 25, 2022

Appl. No.:

17/680543

Inventors:

- Wilmington DE, US
David Eigen - New York NY, US
Ryan Compton - New York NY, US
Christopher Fox - New York NY, US

International Classification:

G06N 3/04
G06N 3/08

Abstract:

In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.

US Patent:

20210342745, Nov 4, 2021

Filed:

Jul 8, 2021

Appl. No.:

17/370043

Inventors:

- Wilmington DE, US
Daniel KANTOR - New York NY, US
Christopher FOX - New York NY, US
Cassidy WILLIAMS - New York NY, US

International Classification:

G06N 20/00
G06N 5/04
G06F 8/00
G06F 3/048
G06N 3/04
G06F 8/30
G06F 8/65

Abstract:

In some embodiments, a service platform that facilitates artificial intelligence model and data collection and collection may be provided. Input/output information derived from machine learning models may be obtained via the service platform. The input/output information may indicate (i) first items provided as input to at least one model of the machine learning models, (ii) first prediction outputs derived from the at least one model's processing of the first items, (iii) second items provided as input to at least another model of the machine learning models, (iv) second prediction outputs derived from the at least one other model's processing of the second items, and (v) other inputs and outputs. The input/output information may be provided via the service platform to update a first machine learning model. The first machine learning model may be updated based on the input/output information being provided as input to the first machine learning model.

US Patent:

20210126881, Apr 29, 2021

Filed:

Oct 25, 2019

Appl. No.:

16/663872

Inventors:

- New York NY, US
Tao Lei - Jersey City NJ, US
Christopher David Fox - New York NY, US
Joseph Ellsworth Hackman - New York NY, US

International Classification:

H04L 12/58
G06N 3/04
G06F 17/28

Abstract:

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.

US Patent:

20200327192, Oct 15, 2020

Filed:

Jul 4, 2019

Appl. No.:

16/503531

Inventors:

- New York NY, US
Christopher David Fox - New York NY, US
Jonathan David Weese - New York NY, US
Satchuthananthavale Rasiah Kuhan Branavan - London, GB
Tao Lei - Jersey City NJ, US

International Classification:

G06F 17/27
G06N 20/00
H04L 12/58
G06F 16/901

Abstract:

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.

US Patent:

20200329144, Oct 15, 2020

Filed:

Jul 4, 2019

Appl. No.:

16/503529

Inventors:

- New York NY, US
Frederick William Poe Heckel - New York NY, US
Priya Sawant - Brooklyn NY, US
Adrien Brochard - New York NY, US
Christopher David Fox - New York NY, US
Tao Lei - Jersey City NJ, US
Joseph Ellsworth Hackman - New York NY, US

International Classification:

H04M 3/51

Abstract:

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.

US Patent:

20200019609, Jan 16, 2020

Filed:

Jul 13, 2018

Appl. No.:

16/035062

Inventors:

- New York NY, US
Christopher David Fox - New York NY, US
Shawn Henry - Longmont CO, US

International Classification:

G06F 17/27
G06N 3/04
G06N 3/08

Abstract:

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.