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:
May. 20, 2014

Filed:

Feb. 22, 2012
Applicants:

Rui Zhang, San Francisco, CA (US);

Kurt E. Partridge, Palo Alto, CA (US);

Robert R. Price, Palo Alto, CA (US);

James M. A. Begole, Los Altos, CA (US);

Maurice K. Chu, Burlingame, CA (US);

Inventors:

Rui Zhang, San Francisco, CA (US);

Kurt E. Partridge, Palo Alto, CA (US);

Robert R. Price, Palo Alto, CA (US);

James M. A. Begole, Los Altos, CA (US);

Maurice K. Chu, Burlingame, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

A recommender system determines a probability threshold for an activity-prediction model, and uses the probability threshold to predict whether a user is performing a target activity. To determine the probability threshold, the system computes a set of activity probabilities based on contextual information for a set of historical activities, and based on an activity-prediction model for a target activity. The system then compares a set of probability thresholds with the set of activity probabilities to determine a prediction success rate for each probability threshold. The system computes a utility score for each probability threshold based on the prediction success rates and a utility function, and selects a probability threshold whose utility score is optimal amongst the utility scores of the set of thresholds and greater than or equal to a baseline utility score. The system then assigns the probability threshold to the activity-prediction model.


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