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.

Date of Patent:
Jan. 07, 2014

Filed:

Nov. 24, 2009
Applicants:

Olivier Boehler, Montpellier Cedex, FR;

Gisela C. Cheng, Poughkeepsie, NY (US);

Anuja Deedwaniya, Poughkeepsie, NY (US);

Zamir G. Gonzalez, Poughkeepsie, NY (US);

Shayne M. Grant, Research Triangle Park, NC (US);

Jagadish B. Kotra, Bangalore KA, IN;

Inventors:

Olivier Boehler, Montpellier Cedex, FR;

Gisela C. Cheng, Poughkeepsie, NY (US);

Anuja Deedwaniya, Poughkeepsie, NY (US);

Zamir G. Gonzalez, Poughkeepsie, NY (US);

Shayne M. Grant, Research Triangle Park, NC (US);

Jagadish B. Kotra, Bangalore KA, IN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 3/048 (2013.01); G06F 3/033 (2013.01); G10L 15/00 (2013.01); G10L 21/00 (2013.01);
U.S. Cl.
CPC ...
Abstract

A method, system, and computer program product for intelligent command prediction are provided. The method includes determining a command prediction preference associated with a user from user profile data, and selecting one or more command history repositories responsive to the command prediction preference. The one or more command history repositories include command history data collected from a plurality of users and classification data associated with the plurality of users. The method also includes calculating command probabilities for commands in the command history data of the selected one or more command history repositories as a function of the classification data associated with the plurality of users in relation to the user. The method additionally includes presenting a next suggested command as a command from the command history data of the selected one or more command history repositories with a highest calculated command probability.


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