18626795. SYSTEMS AND METHODS FOR PROVIDING CONTENT RECOMMENDATIONS simplified abstract (Rovi Guides, Inc.)
Contents
SYSTEMS AND METHODS FOR PROVIDING CONTENT RECOMMENDATIONS
Organization Name
Inventor(s)
SYSTEMS AND METHODS FOR PROVIDING CONTENT RECOMMENDATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18626795 titled 'SYSTEMS AND METHODS FOR PROVIDING CONTENT RECOMMENDATIONS
Simplified Explanation: The patent application describes a system for providing content recommendations based on analyzing users' behavior in response to different values selected within sets of range values for various parameters.
- The system receives multiple sets of range values for different parameters related to content recommendations.
- Over time, the system selects different values within these sets and provides content recommendations to users based on these values.
- The system then analyzes users' behavior in response to the recommendations.
- Based on this analysis, the system updates at least one set of range values to improve the content recommendation process.
Key Features and Innovation:
- Dynamic selection of values within range sets for content recommendation parameters.
- Analysis of users' behavior to enhance content recommendations.
- Continuous updating of range values based on user feedback.
Potential Applications: The technology can be applied in various industries such as e-commerce, streaming services, social media platforms, and online advertising to improve content recommendations for users.
Problems Solved: The system addresses the challenge of providing relevant and personalized content recommendations by dynamically adjusting range values based on user behavior.
Benefits:
- Enhanced user experience with more accurate content recommendations.
- Increased user engagement and satisfaction.
- Improved content discovery and consumption.
Commercial Applications: Potential commercial applications include personalized marketing campaigns, targeted advertising, and customized content delivery in various digital platforms.
Prior Art: Readers interested in prior art related to this technology can explore research papers, patents, and industry publications on content recommendation systems and user behavior analysis.
Frequently Updated Research: Stay informed about the latest advancements in content recommendation systems, user behavior analysis, and personalized content delivery to enhance the effectiveness of this technology.
Questions about Content Recommendation Systems: 1. How does the system determine the optimal values within the range sets for content recommendation parameters? 2. What are the key metrics used to analyze users' behavior and evaluate the effectiveness of the content recommendations?
Original Abstract Submitted
Systems and associated methods are described for providing content recommendations. The system receives a plurality of sets of range values, each of which corresponds to a respective one of a plurality of parameters for recommending the content. The system selects different values within each of the plurality of sets of range values over time and provides a plurality of content recommendations to users based on the selected different values. The system then analyze users' behavior in response to the provided plurality of content recommendations. The system further updates at least one set of range values based on the analyzed users' behavior.
