Salesforce, inc. (20240135114). Applied Artificial Intelligence Technology for Integrating Natural Language Narrative Generation with Newsfeeds simplified abstract
Applied Artificial Intelligence Technology for Integrating Natural Language Narrative Generation with Newsfeeds
Organization Name
Inventor(s)
Nathan William Krapf of Chicago IL (US)
Michael Justin Smathers of Chicago IL (US)
Nathan Drew Nichols of Chicago IL (US)
Matthew Lloyd Trahan of Grayslake IL (US)
Applied Artificial Intelligence Technology for Integrating Natural Language Narrative Generation with Newsfeeds - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135114 titled 'Applied Artificial Intelligence Technology for Integrating Natural Language Narrative Generation with Newsfeeds
The patent application describes systems and methods for integrating natural language narrative story generation with story sharing. A processor generates narrative stories based on semantic source models, analyzes these models to determine users for sharing the stories, and then shares the stories with the identified users. This process allows for more personalized and targeted sharing of stories with users based on their interests.
- The processor generates natural language narrative stories based on semantic source models.
- It analyzes the semantic source models to determine users for sharing the generated stories.
- The processor then shares the stories with the identified users, allowing for more personalized and targeted sharing of stories.
Potential Applications: This technology can be applied in social media platforms, news websites, and content recommendation systems to improve user engagement and satisfaction.
Problems Solved: This technology addresses the challenge of sharing relevant stories with users in a more personalized and targeted manner.
Benefits: - Enhanced user experience through personalized story sharing - Improved user engagement and satisfaction - Efficient content distribution based on user interests
Commercial Applications: This technology can be utilized in social media platforms, news websites, and content recommendation systems to enhance user engagement and drive traffic.
Prior Art: There are existing systems for content recommendation and personalized advertising, but this technology specifically focuses on integrating natural language narrative story generation with story sharing.
Frequently Updated Research: Research on user behavior and preferences in content consumption can provide valuable insights for further optimizing this technology.
Questions about the Technology:
- How does this technology improve user engagement compared to traditional content sharing methods?
- What are the potential privacy concerns associated with sharing personalized stories with users?
Original Abstract Submitted
systems and methods are disclosed for integrating nlg-based natural language narrative story generation with story sharing. a processor can (1) generate a plurality of natural language narrative stories based on a plurality of semantic source models for the natural language narrative stories, (2) analyze the semantic source models to determine a plurality of users to whom the natural language narrative stories that are generated from the analyzed semantic source models are to be shared, and (3) share the generated natural language narrative stories with their determined users. in this fashion, stories can be posted to user-customized newsfeeds in a manner that can more reliably capture stories that are of interest to the users.
