18523674. Aspect Pre-selection using Machine Learning simplified abstract (eBay Inc.)

Aspect Pre-selection using Machine Learning

Organization Name

eBay Inc.

Inventor(s)

Farah Abdallah of Seattle WA (US)

Robert Enyedi of Santa Clara CA (US)

Amit Srivastava of San Jose CA (US)

Elaine Lee of Fremont CA (US)

Braddock Craig Gaskill of Alhambra CA (US)

Tomer Lancewicki of Jersey City NJ (US)

Xinyu Zhang of San Jose CA (US)

Jayanth Vasudevan of Fremont CA (US)

Dominique Jean Bouchon of Cupertino CA (US)

Aspect Pre-selection using Machine Learning - A simplified explanation of the abstract

This abstract first appeared for US patent application 18523674 titled 'Aspect Pre-selection using Machine Learning

Simplified Explanation

The abstract describes a patent application for aspect pre-selection techniques using machine learning, specifically in the context of implementing a chat bot that prompts users to specify aspects of a category during natural-language conversations.

• An artificial assistant system is configured to implement a chat bot.
• User engages in a first natural-language conversation.
• Chat bot prompts user to specify an aspect of a category.
• User data is received in response.
• Data from the conversation is used to train a machine learning model.
• Data is received from a second conversation.
• Model processes data to automatically include the aspect in the search query.

Potential Applications

The technology described in the patent application could be applied in various industries such as customer service, e-commerce, and healthcare for improving user interactions and personalization.

Problems Solved

This technology helps streamline the process of gathering user preferences and information during conversations, making interactions more efficient and tailored to individual needs.

Benefits

The benefits of this technology include enhanced user experience, improved data collection for personalized recommendations, and increased efficiency in communication between users and chat bots.

Potential Commercial Applications

"Enhancing User Interactions with Machine Learning in Chat Bots"

Possible Prior Art

There may be prior art related to machine learning techniques in chat bots for improving user interactions and personalization.

How does this technology handle user privacy and data security concerns?

The patent application does not provide details on how user privacy and data security are addressed in the implementation of the chat bot.

What are the potential limitations or challenges of using machine learning for aspect pre-selection in chat bots?

The patent application does not discuss any potential limitations or challenges that may arise when implementing machine learning for aspect pre-selection in chat bots.

Original Abstract Submitted

Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data is then received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.