DOWNLOADABLE DATABASES FEATURING INFORMATION CONCERNING

Brand	Owner (click to sort)	Address	Description
IOGRAPHICS	CREDME INC.	917 Lusk Street, Suite 300 Boise ID 83706	Downloadable databases featuring information concerning the characteristics of particular internet populations, specifically size, growth, site migration, online behavior, memberships, activity levels, and geolocation;Performing statistical and information analyses for business and commercial purposes in the field of characteristics of an internet population, specifically size, growth, site migration, online behavior, memberships, activity levels, and geolocation; collection and systematisation of information in the field of characteristics of an internet population into computer databases;Computer services, namely, providing temporary use of non-downloadable databases featuring information concerning the characteristics of particular internet populations, specifically size, growth, site migration, online behavior, memberships, activity levels, and geolocation;
IOMETRICS	CREDME INC.	917 Lusk Street, Suite 300 Boise ID 83706	Downloadable databases featuring information concerning performance measurement and quantification with respect to characteristics of an internet population, such as its size, growth, site migration, online behavior, memberships, activity levels, and geolocation;Computer services, namely, providing temporary use of non-downloadable databases featuring information concerning performance measurement and quantification with respect to characteristics of an internet population, such as its size, growth, site migration, online behavior, memberships, activity levels, and geolocation;
	Where the owner name is not linked, that owner no longer owns the brand

Technical Examples

A method is provided for retrieving information from massive databases (i.e., databases with millions of documents) in real time, that allows users to control the trade-off between accuracy in retrieved results and response times. The method may be applied to databases with contents, i.e., documents which have been modeled with a clearly defined metric that enables computation of distances between any two documents, so that pairs of documents which are "closer" with respect to the metric are more similar than pairs of documents which are "further apart". Our method can be applied to similarity ranking and/or can be combined together with other methods to increase the scalability of information retrieval, detection, ranking, and tracking.