The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 08, 2021
Filed:
Apr. 10, 2018
Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);
Sankar Shanmugam, Dayton, NJ (US);
Sreeharsha Lanka, Bridgewater, NJ (US);
Pradeep Bharthur Shanthraj, Piscataway, NJ (US);
Neil Thomas Razzano, Hillsborough, NJ (US);
Shankar Venkatesan, Edison, NJ (US);
Trisha Mahajan, Princeton Junction, NJ (US);
Stephen John Soltys, Warren, NJ (US);
Moorthy Sengottaiyan, Somerset, NJ (US);
Saivivek Thiyagarajan, Ashburn, VA (US);
Ahmed Pasha Mohammed, Piscataway, NJ (US);
Sandeep Kumar, Piscataway, NJ (US);
Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);
Abstract
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.