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:
May. 29, 2012
Filed:
Feb. 25, 2009
Oliver B. Downs, Redmond, WA (US);
Michael Sandoval, Kirkland, WA (US);
Claudiu Alin Branzan, Timisoara, RO;
Vlad Mircea Iovanov, Arad, RO;
Sopurkh Singh Khalsa, Bellevue, WA (US);
Radu Ioan Bisca, Coquitlam, CA;
Catalin Teodor Milos, Timisoara, RO;
Oliver B. Downs, Redmond, WA (US);
Michael Sandoval, Kirkland, WA (US);
Claudiu Alin Branzan, Timisoara, RO;
Vlad Mircea Iovanov, Arad, RO;
Sopurkh Singh Khalsa, Bellevue, WA (US);
Radu Ioan Bisca, Coquitlam, CA;
Catalin Teodor Milos, Timisoara, RO;
Atigeo LLC, Bellevue, WA (US);
Abstract
Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.