REAL RELEVANCE

Brand Owner (click to sort) Address Description
REALRELEVANCE RICHRELEVANCE, INC. 303 Second Street, South Suite 350 San Francisco CA 94107 REAL RELEVANCE;Targeted advertising services, namely, promotion of the goods and services of others by means of a global computer network; Advertising services, namely, promoting the goods and services of others by providing recommendations based on consumer's click and purchase data; promoting the goods and services of others by providing a web site at which users can link to information pertaining to the goods and services offered by advertisers; dissemination of advertising matter; dissemination of advertising matter for others via the Internet;
REALRELEVANCE ChoiceStream. Inc. 210 Broadway, 4th floor Cambridge MA 02139 REAL RELEVANCE;Targeted advertising services, namely, promotion of the goods and services of others by means of a global computer network; Advertising services, namely, promoting the goods and services of others by providing recommendations based on consumer's click and purchase data; promoting the goods and services of others by providing a web site at which users can link to information pertaining to the goods and services offered by advertisers; dissemination of advertising matter; dissemination of advertising matter for others via the Internet;
REALRELEVANCE RICHRELEVANCE, INC. 303 Second Street, South Suite 350 San Francisco CA 94107 REAL RELEVANCE;providing online non-downloadable software for use by retailers and online entertainment providers in providing goods and services that are customized to user preferences;
 

Where the owner name is not linked, that owner no longer owns the brand

   
Technical Examples
  1. Provided is a method and computer program product for determining a document relevance function for estimating a relevance score of a document in a database with respect to a query. For each of a plurality of test queries, a respective set of result documents is collected. For each test query, a subset of the documents in the respective result set is selected, and a set of training relevance scores is assigned to documents in the subset. In one embodiment, at least some of the training relevance scores are assigned by human subjects who determine individual relevance scores for submitted documents with respect to the corresponding queries. Finally, a relevance function is determined based on the plurality of test queries, the subsets of documents, and the sets of training relevance scores.