17806559. COOPERATIVE BUILD AND CONTENT ANNOTATION FOR CONVERSATIONAL DESIGN OF VIRTUAL ASSISTANTS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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COOPERATIVE BUILD AND CONTENT ANNOTATION FOR CONVERSATIONAL DESIGN OF VIRTUAL ASSISTANTS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Muhtar Burak Akbulut of Waban MA (US)

Pankaj Dhoolia of Ghaziabad (IN)

Andy James Stoneberg of Clarksburg MD (US)

Dan O'connor of Cambridge MA (US)

Sachindra Joshi of Gurgaon (IN)

COOPERATIVE BUILD AND CONTENT ANNOTATION FOR CONVERSATIONAL DESIGN OF VIRTUAL ASSISTANTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17806559 titled 'COOPERATIVE BUILD AND CONTENT ANNOTATION FOR CONVERSATIONAL DESIGN OF VIRTUAL ASSISTANTS

Simplified Explanation

The abstract of this patent application describes a system for cooperative design of virtual assistants. Here are the key points:

  • The system uses a processor to analyze the user's build activity and create a build context.
  • The processor then generates content queries based on the build context.
  • A content index is created by combining a text-search index with a neural Information Retrieval (IR) index.
  • The content index is searched using the content queries to find relevant content.
  • The processor applies heuristic rules to the build context and identified content to generate recommendations for the user.
  • These recommendations can be build suggestions or content annotation suggestions.

Potential Applications

This technology could be applied in various areas, including:

  • Virtual assistant design: The system can help designers and developers in creating conversational virtual assistants by providing relevant content and build suggestions.
  • Content annotation: The system can assist in annotating content for virtual assistants, making it easier to organize and retrieve information.

Problems Solved

The system addresses the following problems:

  • Lack of relevant content: By searching a content index using build context, the system ensures that the identified content is relevant to the user's needs.
  • Designing virtual assistants: The system provides build suggestions and content annotation suggestions, helping designers and developers in the conversational design process.

Benefits

The benefits of this technology include:

  • Improved efficiency: The system automates the process of finding relevant content and generating recommendations, saving time and effort for designers and developers.
  • Enhanced user experience: By providing relevant content and suggestions, the system helps in creating more effective and user-friendly virtual assistants.
  • Collaborative design: The system enables cooperative design by incorporating user build activity and generating recommendations based on it.


Original Abstract Submitted

In an approach for a cooperative build and content annotation system for conversational design of virtual assistants, a processor formulates a build context based on a build activity of a user. A processor formulates one or more content queries based on the build context. A processor builds a content index by augmenting a text-search index with a neural Information Retrieval (IR) index. A processor searches the content index using the one or more content queries to identify content relevant to the build context. A processor determines at least one recommendation for the user based on heuristic rules applied to the build context and the identified content, wherein each recommendation is a build suggestion or a content annotation suggestion.

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