Salesforce, inc. (20240257179). USER INTEREST DETECTION FOR CONTENT GENERATION simplified abstract
Contents
USER INTEREST DETECTION FOR CONTENT GENERATION
Organization Name
Inventor(s)
Jessica Lundin of Bellevue WA (US)
Michael Sollami of Cambridge MA (US)
USER INTEREST DETECTION FOR CONTENT GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257179 titled 'USER INTEREST DETECTION FOR CONTENT GENERATION
The abstract of this patent application describes a system for detecting user interest in order to generate content. Time series data of user interactions with computer resources, expected event data, and irregular event data are used to predict user interest in events and display relevant content to users.
- The system receives time series data of user interactions with computer resources.
- It also receives expected event data and irregular event data.
- Based on this data, the system generates a prediction of user interest in events, including the identification of the event, time of the event, and levels of user interest before, during, and after the event.
- Content is then displayed to users at a time based on the prediction of user interest in the event.
Potential Applications: - Personalized content recommendations - Targeted advertising - Event planning and scheduling optimization
Problems Solved: - Improving user engagement with content - Enhancing user experience by providing relevant information - Increasing user interaction with computer resources
Benefits: - Increased user engagement and satisfaction - More effective content delivery - Improved user retention and loyalty
Commercial Applications: Title: User Interest Detection System for Content Generation This technology can be used in various industries such as digital marketing, e-commerce, and social media platforms to enhance user engagement and drive revenue through targeted content delivery.
Questions about User Interest Detection System for Content Generation: 1. How does the system predict user interest in events? The system predicts user interest by analyzing time series data of user interactions with computer resources, expected event data, and irregular event data to generate a prediction of user interest levels before, during, and after the event.
2. What are the potential applications of this technology? The potential applications of this technology include personalized content recommendations, targeted advertising, and event planning optimization to enhance user engagement and improve content delivery.
Original Abstract Submitted
systems, devices, and techniques are disclosed for user interest detection for content generation. a set of time series data including user interactions with computer accessible resources may be received. a set of expected event data may be received. irregular event data may be received. a prediction of user interest in an event, including an identification of the event, a time of the event, and levels of user interest before, during and after the time of the event may be generated from the set of time series data, the set of expected event data, and the set of irregular event data. an item of content may be displayed to a user at a time based on the prediction of user interest in the event.
