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:
Jul. 11, 2017

Filed:

Nov. 11, 2008
Applicants:

Dilip Krishnaswamy, San Diego, CA (US);

Nakul Verma, San Diego, CA (US);

Vladimir Bychkovsky, Grafton, MA (US);

Inventors:

Dilip Krishnaswamy, San Diego, CA (US);

Nakul Verma, San Diego, CA (US);

Vladimir Bychkovsky, Grafton, MA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06F 17/21 (2006.01); H04L 29/08 (2006.01); G06N 3/00 (2006.01); G06Q 30/02 (2012.01); H04L 12/18 (2006.01); H04L 12/58 (2006.01); H04M 3/487 (2006.01); H04W 8/18 (2009.01); H04W 4/12 (2009.01); H04W 4/20 (2009.01);
U.S. Cl.
CPC ...
H04L 67/20 (2013.01); G06F 15/18 (2013.01); G06F 17/21 (2013.01); G06N 3/004 (2013.01); G06Q 30/02 (2013.01); H04L 12/1859 (2013.01); H04L 12/585 (2013.01); H04L 12/5895 (2013.01); H04L 51/12 (2013.01); H04L 51/38 (2013.01); H04L 67/04 (2013.01); H04L 67/22 (2013.01); H04L 67/26 (2013.01); H04L 67/306 (2013.01); H04L 67/322 (2013.01); H04M 3/4878 (2013.01); H04W 4/12 (2013.01); H04W 4/206 (2013.01); H04W 8/18 (2013.01); H04L 12/189 (2013.01); H04L 12/5855 (2013.01);
Abstract

Methods and systems for determining a suitability for a mobile client to display information are disclosed. A particular exemplary method includes receiving a plurality of sets of one or more first keywords on a mobile client, each set of first keywords associated with one or more respective first messages, monitoring user interaction of the respective first messages on the mobile client, performing learning operations on the mobile client with the first keywords based on monitored user interaction to estimate a set of keyword interest weights, receiving a set of target keywords associated with a target message, and displaying the target message on the mobile client based on the estimated keyword interest weights.


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