H04L51/07

Email assistant options bar for email applications
11775138 · 2023-10-03 · ·

Systems and methods are described for providing an email assistant options bar. An assistant engine of an email application can identify contacts of a user profile that the user interacts with the most frequently based on a set of rules. When a user interacts with an email in the email application using a predetermined input type, the assistant engine can display the email assistant options bar. The email assistant options bar can include icons representing the identified contacts that the user interacts with the most frequently and a set of actions that can be performed to interact with the contacts. Some examples of actions can include forwarding the selected email, calling a contact, and setting up a meeting. The user can select one or more of the contacts and one of the actions. The assistant engine can perform the selected action with the selected contact as the recipient.

Email assistant options bar for email applications
11775138 · 2023-10-03 · ·

Systems and methods are described for providing an email assistant options bar. An assistant engine of an email application can identify contacts of a user profile that the user interacts with the most frequently based on a set of rules. When a user interacts with an email in the email application using a predetermined input type, the assistant engine can display the email assistant options bar. The email assistant options bar can include icons representing the identified contacts that the user interacts with the most frequently and a set of actions that can be performed to interact with the contacts. Some examples of actions can include forwarding the selected email, calling a contact, and setting up a meeting. The user can select one or more of the contacts and one of the actions. The assistant engine can perform the selected action with the selected contact as the recipient.

RESPONSE ENDPOINT SELECTION
20230141659 · 2023-05-11 ·

A computing system has multiple endpoint computing devices in local environments to receive verbal requests from various users and a central or remote system to process the requests. The remote system generates responses and uses a variety of techniques to determine where and when to return responses audibly to the users. For each request, the remote system understands who is making the request, determines when to provide the response to the user, ascertains where the user is when it is time to deliver the response, discovers which of the endpoint devices are available to deliver the response, and evaluates which of the available devices is best to deliver the response. The system then delivers the response to the best endpoint device for audible emission or other form of presentation to the user.

RESPONSE ENDPOINT SELECTION
20230141659 · 2023-05-11 ·

A computing system has multiple endpoint computing devices in local environments to receive verbal requests from various users and a central or remote system to process the requests. The remote system generates responses and uses a variety of techniques to determine where and when to return responses audibly to the users. For each request, the remote system understands who is making the request, determines when to provide the response to the user, ascertains where the user is when it is time to deliver the response, discovers which of the endpoint devices are available to deliver the response, and evaluates which of the available devices is best to deliver the response. The system then delivers the response to the best endpoint device for audible emission or other form of presentation to the user.

Generating augmented reality content based on third-party content
11657575 · 2023-05-23 · ·

In one or more implementations, third-party content may include one or more objects and may include one or more visual effects related to the one or more objects. Augmented reality content may be generated that applies the one or more visual effects to additional object shown in a field of view of a camera. The third-party content may correspond to one or more products that are available for purchase via a client application.

Generating augmented reality content based on third-party content
11657575 · 2023-05-23 · ·

In one or more implementations, third-party content may include one or more objects and may include one or more visual effects related to the one or more objects. Augmented reality content may be generated that applies the one or more visual effects to additional object shown in a field of view of a camera. The third-party content may correspond to one or more products that are available for purchase via a client application.

SYSTEM AND METHOD FOR DETECTION, TRANSLATION, AND CATEGORIZATION OF VISUAL CONTENT ASSOCIATED WITH MALICIOUS ELECTRONIC COMMUNICATION
20230353528 · 2023-11-02 · ·

Embodiments of the present invention provide a system for detecting, translating, and categorizing visual content associated with malicious electronic communication. The system is configured for establishing a communication link with one or more third party systems, continuously monitoring one or more electronic communications associated with the one or more third party systems, detecting at least one electronic communication from the one or more electronic communications that meets one or more triggers, analyzing the at least one electronic communication to translate the at least one electronic communication to text, and categorizing the at least one electronic communication based on the text associated with the at least one electronic communication.

SYSTEM AND METHOD FOR DETECTION, TRANSLATION, AND CATEGORIZATION OF VISUAL CONTENT ASSOCIATED WITH MALICIOUS ELECTRONIC COMMUNICATION
20230353528 · 2023-11-02 · ·

Embodiments of the present invention provide a system for detecting, translating, and categorizing visual content associated with malicious electronic communication. The system is configured for establishing a communication link with one or more third party systems, continuously monitoring one or more electronic communications associated with the one or more third party systems, detecting at least one electronic communication from the one or more electronic communications that meets one or more triggers, analyzing the at least one electronic communication to translate the at least one electronic communication to text, and categorizing the at least one electronic communication based on the text associated with the at least one electronic communication.

GENERATING AUGMENTED REALITY CONTENT BASED ON THIRD-PARTY CONTENT
20230377291 · 2023-11-23 ·

In one or more implementations, third-party content may include one or more objects and may include one or more visual effects related to the one or more objects. Augmented reality content may be generated that applies the one or more visual effects to additional object shown in a field of view of a camera. The third-party content may correspond to one or more products that are available for purchase via a client application.

GENERATING AUGMENTED REALITY CONTENT BASED ON THIRD-PARTY CONTENT
20230377291 · 2023-11-23 ·

In one or more implementations, third-party content may include one or more objects and may include one or more visual effects related to the one or more objects. Augmented reality content may be generated that applies the one or more visual effects to additional object shown in a field of view of a camera. The third-party content may correspond to one or more products that are available for purchase via a client application.