Snowflake inc. (20240202203). SEARCH IN A DATA MARKETPLACE simplified abstract
Contents
SEARCH IN A DATA MARKETPLACE
Organization Name
Inventor(s)
Orestis Kostakis of Redmond WA (US)
Timur Misirpashaev of West Windsor NJ (US)
SEARCH IN A DATA MARKETPLACE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202203 titled 'SEARCH IN A DATA MARKETPLACE
The abstract describes a search engine within a data exchange that receives user queries and retrieves data listings based on search terms. A data ranking module analyzes the listings to determine signals specific to each listing and external signals, which are then used to order and present the listings to the user.
- Search engine within a data exchange receives user queries and retrieves data listings.
- Data ranking module analyzes each listing to determine listing-specific signals and external signals.
- Listing-specific signals correspond to attributes or characteristics of the data within a listing.
- External signals measure activity in the data exchange related to a listing.
- The retrieved data listings are ordered and presented to the user based on the signals analyzed.
- Potential Applications:
This technology can be applied in various industries such as e-commerce, online marketplaces, and information retrieval systems.
- Problems Solved:
This technology addresses the challenge of efficiently organizing and presenting relevant data listings to users based on their search queries.
- Benefits:
- Improved search result relevance - Enhanced user experience - Increased efficiency in data retrieval and presentation
- Commercial Applications:
The technology can be utilized in online shopping platforms, real estate websites, and job search engines to enhance search result quality and user satisfaction.
- Prior Art:
Researchers can explore prior art related to search engine algorithms, data ranking methods, and user query analysis in the context of data exchanges.
- Frequently Updated Research:
Stay informed about advancements in search engine technologies, data ranking algorithms, and user behavior analysis in data exchanges.
- Questions about Search Engine Technology:
1. How does the data ranking module determine listing-specific signals?
- The data ranking module analyzes attributes and characteristics of the data within each listing to determine listing-specific signals.
2. What are some potential challenges in implementing this technology in large-scale data exchanges?
- Implementing this technology in large-scale data exchanges may require robust infrastructure and efficient algorithms to handle vast amounts of data and user queries.
Original Abstract Submitted
a search engine of a data exchange may receive from a user, a query comprising a set of search terms, and retrieve a set of data listings based on the search terms of the query. a data ranking module of the search engine may analyze each of the set of retrieved data listings to determine, for each of the set of retrieved data listings, a set of listing-specific signals and a set of external signals. listing-specific signals may correspond to attributes or characteristics of data/content within a data listing, while external signals may correspond to a measure of activity in the data exchange that involves a data listing. based on the listing-specific signals and the external signals analyzed for each retrieved data listing, the set of retrieved data listings may be ordered and presented to the user.
