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. 11, 2010
Filed:
Sep. 28, 2006
Lili Cheng, Bellevue, WA (US);
Gary W. Flake, Bellevue, WA (US);
Alexander G. Gounares, Kirkland, WA (US);
James R. Larus, Mercer Island, WA (US);
Matthew B. Maclaurin, Woodinville, WA (US);
Raymond E. Ozzie, Seattle, WA (US);
Thomas F. Bergstraesser, Kirkland, WA (US);
Arnold N. Blinn, Hunts Point, WA (US);
Christopher W. Brumme, Mercer Island, WA (US);
Michael Connolly, Seattle, WA (US);
Daniel S. Glasser, Mercer Island, WA (US);
Henricus Johannes Maria Meijer, Mercer Island, WA (US);
Debi P. Mishra, Bellevue, WA (US);
Melora Zaner-godsey, Redmond, WA (US);
Lili Cheng, Bellevue, WA (US);
Gary W. Flake, Bellevue, WA (US);
Alexander G. Gounares, Kirkland, WA (US);
James R. Larus, Mercer Island, WA (US);
Matthew B. MacLaurin, Woodinville, WA (US);
Raymond E. Ozzie, Seattle, WA (US);
Thomas F. Bergstraesser, Kirkland, WA (US);
Arnold N. Blinn, Hunts Point, WA (US);
Christopher W. Brumme, Mercer Island, WA (US);
Michael Connolly, Seattle, WA (US);
Daniel S. Glasser, Mercer Island, WA (US);
Henricus Johannes Maria Meijer, Mercer Island, WA (US);
Debi P. Mishra, Bellevue, WA (US);
Melora Zaner-Godsey, Redmond, WA (US);
Microsoft Corporation, Redmond, WA (US);
Abstract
Systems and methods that analyze aggregated tagging behavior of users, and evaluate such tagging trends to identify criteria for taxonomy applications. Initially, existence of a possible trend of tagging data based on collective user behavior is determined. Subsequently, tagging trends can be examined to identify that a predetermined convergence criteria has in fact been met, and/or establish such criteria for taxonomy applications. Machine learning systems (implicitly as well as explicitly trained) can be supplied to facilitate determining the trends and the convergence criteria.