Verizon Patent and Licensing Inc.

Saivivek Thiyagarajan

Sankar Shanmugam

Amar Nageswaram

Pradeep Bharthur Shanthraj

Amit Mahajan

Srinivasa Kaniganti

Madhu Talupur

Nitin Ahuja

Shoma Chakravarty

Praveen K Muthu

Sathiyamoorthy Dhanapal

Anil Krishna Guntupalli

Manah Mounir Khalil

Moorthy Sengottaiyan

Vijaya R Challa

Neil Thomas Razzano

Omar Abdallah Abou-Khamis

Trisha Mahajan

Stephen John Soltys

Sreeharsha Lanka

Biplab K Pramanik

Mazen Hammad

Ahmed Pasha Mohammed

Sandeep Kumar

Keyur K Shah

Shankar Venkatesan

A method, device, and computer-readable medium provide for receiving, via a chatbot access channel, a chat message from a user device associated with a customer chat session; determining that the chat message includes a customer intent that corresponds to a chat flow for the customer chat session; generating one or more suggested response messages based on the chat message, wherein at least one of the one or more suggested response messages includes a previously stored chat message response corresponding to the customer intent and approved by a service agent; presenting, via a display, a transcript of a messaging sequence for the customer chat session concurrently with a user interface that enables the service agent to perform an action with respect to the one or more suggested response messages; and sending, via the chatbot access channel, a selected one of the one or more suggested response messages to the user device.

Systems and methods for customer service agent-guided chat session digital assistant

A device receives provides content to a client device via a dual-panel user interface that includes a first panel and a second panel. The device receives, from the client device, information indicating a user interaction, and processes the information, with a first model, to determine a question based on the user interaction. The device utilizes natural language processing with the question to determine an intent of the question, and processes the intent of the question, with a second model, to map the intent of the question to a content answer to the question. The device adds additional user information, associated with a user of the client device, to the content answer to generate a personalized content response, and updates the first panel with the personalized content response to generate an updated first panel. The device provides the updated first panel, via the dual-panel user interface, to the client device.

Systems and methods for utilizing machine learning and natural language processing to provide a dual-panel user interface

A system is disclosed for chatbot conversation construction, and includes user interface, coupled to a conversation construction and management platform, configured to provide entry of intents, associated responses and search terms, and to construct and store conversation controllers, each based at least in part on one or more of the intents, and build conversation flows, each based at least in part on one or more of the conversation controllers. An artificial intelligence (AI) connector platform couples to the conversation construction and management platform, and is configured to receive natural language (NL) search data from a chatbot channel, format the NL search data into an input protocol of a selectable NL processing engine and receive a response from the NLP engine and, based at least in part on one or more of the conversation flows, convert the NLP engine response to a personalized response, and send the personalized response to the chatbot channel.

System and method for chatbot conversation construction and management

A method includes receiving a request associated with a secondary event orchestrator to schedule a secondary event to be concurrently broadcast with a primary video program. The secondary event is based on the primary video program. The method includes scheduling, by a processing device, the secondary event in an interactive media guide (IMG). The method also includes receiving requests or subscriptions for the secondary event from at least one user device based on the scheduled secondary event in the IMG, and providing support for the concurrent broadcast of the secondary event.

Social television system

A method includes receiving first information identifying profile information associated with a customer, habit information associated with the customer's television viewing habits, or Internet usage information associated with the customer. The method also includes receiving preference information from the customer, wherein the preference information identifies advertisements or types of advertisements that the customer would like to view or would not like to view. The method further includes identifying advertisements based on the received first information and the received preference information, inserting, by a service provider, the identified advertisements in a television programming data stream and providing the identified advertisements to the customer.

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Ashburn, VA, United States of America

Saivivek Thiyagarajan