Snowflake inc. (20240296162). GENERATING OVERLAP QUERIES ON A DATABASE SYSTEM simplified abstract
Contents
GENERATING OVERLAP QUERIES ON A DATABASE SYSTEM
Organization Name
Inventor(s)
Matthew J. Glickman of Larchmont NY (US)
Orestis Kostakis of Redmond WA (US)
Justin Langseth of Kailua HI (US)
GENERATING OVERLAP QUERIES ON A DATABASE SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296162 titled 'GENERATING OVERLAP QUERIES ON A DATABASE SYSTEM
Simplified Explanation:
The patent application describes an advanced system that refines overlap queries in a database system based on user feedback. The system monitors interactions of users with datasets, receives feedback on query results, generates similarity scores, and creates new overlap queries to output refined datasets.
- The system refines overlap queries in a database system based on user feedback.
- It monitors user interactions with datasets and receives feedback on query results.
- Generates similarity scores to enhance the creation of new overlap queries.
- Designs new overlap queries to output refined datasets between different users' datasets.
- Creates a new joined dataset by executing these overlap queries.
- Provides users with refined recommendations based on additional feedback.
Potential Applications: The technology can be applied in various industries such as e-commerce, recommendation systems, data analysis, and personalized content delivery.
Problems Solved: The system addresses the need for refining overlap queries in databases to improve the quality of results and provide users with more accurate recommendations.
Benefits: Users can receive more relevant and personalized recommendations based on their feedback, leading to a better user experience and increased satisfaction.
Commercial Applications: Title: Enhanced Recommendation System for E-commerce Platforms This technology can be used by e-commerce platforms to improve product recommendations, increase customer engagement, and drive sales.
Prior Art: Researchers can explore prior art related to database query optimization, user feedback systems, and recommendation algorithms to understand the existing technologies in this field.
Frequently Updated Research: Stay updated on the latest advancements in database query optimization, user feedback analysis, and recommendation systems to enhance the performance of the technology.
Questions about the Technology: 1. How does the system generate similarity scores to enhance overlap queries? 2. What are the potential implications of using this technology in personalized content delivery systems?
Original Abstract Submitted
an advanced system for refining overlap queries in a database system based on user feedback. the system monitors interactions of a first user with a first dataset on the database system, where the first dataset is associated with the first user. feedback regarding the quality of a results dataset, generated from an executed overlap query, is received from the first user. this feedback informs the generation of a similarity score dataset that enhances the creation of new overlap queries. these new overlap queries are designed to output refined overlap datasets between the first dataset and a second dataset associated with a second user. a new joined dataset is generated by executing these overlap queries, comprising data from both the first and second datasets. a new results dataset is generated, providing the first user with refined recommendations based on additional feedback.
