SEARCH IN A DATA MARKETPLACE

Organization Name

Inventor(s)

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.

1. 1. Potential Applications:

This technology can be applied in various industries such as e-commerce, online marketplaces, and information retrieval systems.

1. 1. Problems Solved:

This technology addresses the challenge of efficiently organizing and presenting relevant data listings to users based on their search queries.

1. 1. Benefits:

- Improved search result relevance - Enhanced user experience - Increased efficiency in data retrieval and presentation

1. 1. 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.

1. 1. 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.

1. 1. Frequently Updated Research:

Stay informed about advancements in search engine technologies, data ranking algorithms, and user behavior analysis in data exchanges.

1. 1. 1. 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.