Dell products l.p. (20240303510). METHOD FOR DYNAMIC RULE-BASED RECOMMENDATION VALIDATION simplified abstract
Contents
METHOD FOR DYNAMIC RULE-BASED RECOMMENDATION VALIDATION
Organization Name
Inventor(s)
Nicholas A. Noto of Saratoga CA (US)
Nitin Madan of Cupertino CA (US)
Jingwen Zhang of Milpitas CA (US)
Sriranjani Vaidyanathan of Santa Clara CA (US)
Ishan Khaparde of Milpitas CA (US)
METHOD FOR DYNAMIC RULE-BASED RECOMMENDATION VALIDATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303510 titled 'METHOD FOR DYNAMIC RULE-BASED RECOMMENDATION VALIDATION
The abstract of the patent application describes a system for dynamic rule-based recommendations. This system involves receiving a rule-base containing rules for a data-related operation, validating potential targets against the rule-base, and returning or ranking eligible targets based on the validation. The data-related operation can then be performed using one of the validated targets.
- The system receives a rule-base with rules for a data-related operation.
- Potential targets are validated against the rule-base.
- Eligible targets are returned and/or ranked based on the validation.
- The data-related operation is performed using one of the validated targets.
Potential Applications: This technology could be applied in e-commerce platforms to provide personalized product recommendations based on user preferences. It could also be used in content recommendation systems for media streaming services to suggest relevant movies or TV shows to users.
Problems Solved: This technology addresses the challenge of efficiently matching data-related operations with suitable targets based on predefined rules. It streamlines the process of identifying and selecting eligible targets for a given operation.
Benefits: The system improves the accuracy and efficiency of recommendations by validating potential targets against a rule-base. This leads to more relevant and personalized suggestions for users, enhancing their overall experience.
Commercial Applications: Title: Enhanced Recommendation System for E-commerce Platforms This technology can be commercially utilized in various industries such as e-commerce, media streaming, online advertising, and personalized content delivery services. By providing tailored recommendations to users, businesses can increase customer engagement and satisfaction, leading to higher conversion rates and revenue.
Questions about the technology: 1. How does the system determine the eligibility of targets based on the rule-base? 2. What are the potential challenges in implementing this technology in real-world applications?
Original Abstract Submitted
dynamic rule-based recommendations are disclosed. a rule-base, which includes rules, is received for a data-related operation. potential targets of the data-related operation are validated against the rule-base. targets that are eligible or validated using the rule-base may be returned and/or ranked. the data-relation operation may be performed using one of the validated targets.
