Amazon technologies, inc. (20240185846). MULTI-SESSION CONTEXT simplified abstract

MULTI-SESSION CONTEXT

Organization Name

amazon technologies, inc.

Inventor(s)

Arjit Biswas of Dublin CA (US)

Shishir Bharathi of Bellevue WA (US)

Anushree Venkatesh of San Mateo CA (US)

Yun Lei of Los Altos CA (US)

Ashish Kumar Agrawal of Mountain View CA (US)

Siddhartha Reddy Jonnalagadda of Bothell WA (US)

Prakash Krishnan of Santa Clara CA (US)

Arindam Mandal of Redwood City CA (US)

Raefer Christopher Gabriel of San Jose CA (US)

Abhay Kumar Jha of Belmont CA (US)

David Chi-Wai Tang of Palo Alto CA (US)

Savas Parastatidis of Kirkland WA (US)

MULTI-SESSION CONTEXT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240185846 titled 'MULTI-SESSION CONTEXT

Simplified Explanation

The patent application describes techniques for storing and using multi-session context. This involves storing data from a first interaction, such as actions, entities, and user profiles, and retrieving this data for a second interaction, even if it occurs on a different system.

• The system stores context data from a first interaction.
• This data includes action data, entity data, and a user profile identifier.
• The stored context data can be used during a second interaction.
• The system can generate a response during the second interaction using the stored context data from the prior interaction.

Key Features and Innovation

• Storing context data from a first interaction for later use in a second interaction.
• Retrieving and using stored context data even if the interactions occur on different systems.
• Generating responses during the second interaction based on the stored context data from the prior interaction.

Potential Applications

The technology could be applied in various systems where user context needs to be maintained across multiple interactions, such as customer service platforms, e-commerce websites, and personalized content delivery systems.

Problems Solved

This technology addresses the challenge of maintaining and utilizing user context data across different interactions and systems, improving the overall user experience and personalization.

Benefits

• Enhanced user experience through personalized responses based on past interactions.
• Increased efficiency in providing relevant information to users.
• Seamless transition between different systems while maintaining user context.

Commercial Applications

• Customer service platforms for personalized support.
• E-commerce websites for tailored product recommendations.
• Content delivery systems for customized user experiences.

Prior Art

There may be existing technologies that store user context data within a single session, but the innovation here lies in storing and utilizing this data across multiple sessions and systems.

Frequently Updated Research

There may be ongoing research on improving the efficiency and accuracy of storing and using multi-session context data in various applications.

Unanswered Questions

Question 1

How does the system ensure the security and privacy of the stored context data across different interactions and systems? The system may employ encryption techniques and access controls to protect the stored context data from unauthorized access.

Question 2

What are the potential limitations or challenges in implementing this technology in real-world systems? Some challenges may include integrating the technology with existing systems, ensuring compatibility across different platforms, and managing the scalability of storing and retrieving large amounts of context data.

Original Abstract Submitted

techniques for storing and using multi-session context are described. a system may store context data corresponding to a first interaction, where the context data may include action data, entity data and a profile identifier for a user. later the stored context data may be retrieved during a second interaction corresponding to the entity of the second interaction. the second interaction may take place at a system different than the first interaction. the system may generate a response during the second interaction using the stored context data of the prior interaction.