18515724. INTELLIGENT, PERSONALIZED, AND DYNAMIC CHATBOT CONVERSATION simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

INTELLIGENT, PERSONALIZED, AND DYNAMIC CHATBOT CONVERSATION

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Yi Zhang of Kirkland WA (US)

Omar Aftab of Newcastle WA (US)

Eslam Kamal Abdelaal Abdelreheem of Sammamish WA (US)

Mohammed Mustafa Mohammed Ali Moussa of Cairo (EG)

Senthilkumar Chandramohan of Sammamish WA (US)

Ahmed Mostafa Othman Abdelmotaleb of Kirkland WA (US)

INTELLIGENT, PERSONALIZED, AND DYNAMIC CHATBOT CONVERSATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18515724 titled 'INTELLIGENT, PERSONALIZED, AND DYNAMIC CHATBOT CONVERSATION

Simplified Explanation

The abstract describes a patent application related to chatbot conversation management using machine learning to dynamically ask questions to end users to determine values associated with properties.

• The generic model for chatbot conversation management is generated based on machine learning.
• A refined model is created using the generic model and a set of phrases.
• The chatbot engages in a conversation with an end user to obtain and store values for properties.
• The refined model is used to ask questions to the end user to determine values for properties.

Potential Applications

This technology could be applied in customer service chatbots, virtual assistants, and automated help desks.

Problems Solved

This technology helps chatbots better understand and interact with users, improving the overall user experience and efficiency of the chatbot.

Benefits

The benefits of this technology include more personalized interactions with chatbots, quicker resolution of user inquiries, and improved data collection for future interactions.

Potential Commercial Applications

"Enhancing User Engagement and Data Collection in Chatbot Conversations"

Possible Prior Art

There may be prior art related to chatbot conversation management systems that use machine learning for dynamic questioning of users.

How does this technology handle user privacy concerns?

This article does not address how the chatbot ensures the security and privacy of user data during conversations.

What are the potential limitations of this technology in different languages or cultural contexts?

This article does not discuss how the chatbot's conversation management may be affected by language barriers or cultural differences.

Original Abstract Submitted

Chatbot conversation management includes a generic model associated with a first property associated with a chatbot manager. The generic model is generated based on machine learning. A refined model that is associated with the first property is generated based on the generic model and a first plurality of phrases. A first conversation is held between a chatbot and an end user. A determination is made regarding storage of a value of a first property for the end user that is obtained via the chatbot. The refined model is used to dynamically ask questions to the end user to determine a value of the first property for the end user.