18060064. ARTIFICIAL INTELLIGENCE FOR COMMUNICATION MODE SUGGESTION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

ARTIFICIAL INTELLIGENCE FOR COMMUNICATION MODE SUGGESTION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Aditi Chakraborty of Plano TX (US)

Saraswathi Sailaja Perumalla of Visakhapatnam (IN)

Rachana Vishwanathula of Hyderabad (IN)

Sweta Agarwal of Birpara (IN)

ARTIFICIAL INTELLIGENCE FOR COMMUNICATION MODE SUGGESTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18060064 titled 'ARTIFICIAL INTELLIGENCE FOR COMMUNICATION MODE SUGGESTION

Simplified Explanation

The abstract describes a method, computer system, and computer program product for generating a communication mode suggestion based on historical usage data of a second user across multiple communication platforms.

• The first computer receives a communication request from a first user to communicate with a second user.
• The first computer inputs the communication request to a machine learning model trained with historical usage data of the second user.
• The machine learning model generates a communication mode suggestion in response to the received communication request.
• The first computer transmits the communication mode suggestion to the first user for presentation.

Potential Applications

This technology could be applied in:

• Customer service chatbots to suggest the most effective communication mode based on user behavior.
• Social media platforms to recommend the best way to interact with specific users.

Problems Solved

This technology helps in:

• Improving communication efficiency by suggesting the most suitable mode of communication.
• Enhancing user experience by personalizing communication recommendations based on historical data.

Benefits

The benefits of this technology include:

• Streamlining communication processes by providing tailored suggestions.
• Increasing user engagement by recommending the most effective communication mode.

Potential Commercial Applications

A potential commercial application of this technology could be:

• Integration into messaging apps to enhance user experience and increase user satisfaction.

Possible Prior Art

One possible prior art for this technology could be:

• Chatbots that analyze user behavior to suggest responses in customer service interactions.

Unanswered Questions

How does the machine learning model determine the most suitable communication mode?

The abstract does not provide details on the specific criteria or algorithms used by the machine learning model to generate communication mode suggestions.

What types of historical usage data are considered in training the machine learning model?

The abstract does not specify the specific types of historical usage data used to train the machine learning model for generating communication mode suggestions.

Original Abstract Submitted

A method, computer system, and a computer program product for generating a communication mode suggestion are provided. A first computer may receive a communication request from a first user to communicate with a second user. The first computer inputs the received communication request to a first machine learning model. The first machine learning model was trained with historical usage of the second user for communication of responses across multiple communication platforms. The trained first machine learning model generates the communication mode suggestion in response to receiving the received communication request as an input. The first computer transmits the communication mode suggestion for presentation to the first user.