18148254. SYSTEMS AND METHODS FOR SEQUENTIAL MODEL FRAMEWORK FOR NEXT-BEST USER STATE simplified abstract (Walmart Apollo, LLC)
Contents
SYSTEMS AND METHODS FOR SEQUENTIAL MODEL FRAMEWORK FOR NEXT-BEST USER STATE
Organization Name
Inventor(s)
Ali Arsalan Yaqoob of Union City CA (US)
Yue Xu of San Francisco CA (US)
Hyun Duk Cho of San Francisco CA (US)
Sushant Kumar of San Jose CA (US)
Kannan Achan of Saratoga CA (US)
SYSTEMS AND METHODS FOR SEQUENTIAL MODEL FRAMEWORK FOR NEXT-BEST USER STATE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18148254 titled 'SYSTEMS AND METHODS FOR SEQUENTIAL MODEL FRAMEWORK FOR NEXT-BEST USER STATE
Simplified Explanation: The patent application describes systems and methods for generating an interface that includes elements related to predicting the next best state for a user. This involves receiving a request for an interface with a user identifier, using a prediction engine to generate predictions based on user behavior, and creating an interface with elements related to these predictions.
- Uses a prediction engine to generate predictions based on user behavior
- Creates an interface with elements related to the predicted next state
- Utilizes a trained sequential prediction model to make accurate predictions
- Transmits the interface to a user device associated with the user identifier
- Enhances user experience by providing personalized interfaces based on predicted next states
Potential Applications: - Personalized user interfaces in e-commerce platforms - Adaptive content recommendations in streaming services - Tailored user experiences in social media platforms
Problems Solved: - Predicting user behavior to provide relevant content - Enhancing user engagement through personalized interfaces - Improving user satisfaction by anticipating their needs
Benefits: - Increased user engagement and interaction - Enhanced user experience through personalized interfaces - Improved user satisfaction and retention rates
Commercial Applications: Predictive Interface Generation for Enhanced User Experience
Prior Art: Prior art related to predictive modeling and user interface personalization in various industries could be relevant to this technology.
Frequently Updated Research: Research on machine learning algorithms for predictive modeling and user behavior analysis could be relevant to this technology.
Questions about Predictive Interface Generation: 1. How does the trained sequential prediction model improve the accuracy of next state predictions? 2. What are the potential privacy concerns associated with predicting user behavior for interface generation?
Original Abstract Submitted
Systems and methods of generating an interface including elements related to a next best state prediction are disclosed. A request for an interface including a user identifier is received. A next state prediction engine receives a sequence unit set including at least one sequence unit associated with the user identifier and a set of features associated with the at least one sequence unit and generates at least one next state prediction using a trained sequential prediction model. The trained sequential prediction model is configured to receive the sequence unit set and the set of features for the at least one sequence unit and output at least one predicted next state for the sequence unit set. An interface generation engine generates an interface including at least one element related to the at least one predicted next state and transmits the interface to a user device associated with the user identifier.
