The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 28, 2014
Filed:
Jun. 28, 2006
Gary W. Flake, Bellevue, WA (US);
William H. Gates, Iii, Medina, WA (US);
Eric J. Horvitz, Kirkland, WA (US);
Joshua T. Goodman, Redmond, WA (US);
Surajit Chaudhuri, Redmond, WA (US);
Trenholme J. Griffin, Bainbridge Island, WA (US);
Oliver Hurst-hiller, New York, NY (US);
Kenneth A. Moss, Mercer Island, WA (US);
Gary W. Flake, Bellevue, WA (US);
William H. Gates, III, Medina, WA (US);
Eric J. Horvitz, Kirkland, WA (US);
Joshua T. Goodman, Redmond, WA (US);
Surajit Chaudhuri, Redmond, WA (US);
Trenholme J. Griffin, Bainbridge Island, WA (US);
Oliver Hurst-Hiller, New York, NY (US);
Kenneth A. Moss, Mercer Island, WA (US);
Microsoft Corporation, Redmond, WA (US);
Abstract
The subject disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user. Still further yet, a localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. A system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.