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. 01, 2012

Filed:

Jul. 07, 2008
Applicants:

David Gerster, Burlingame, CA (US);

Amr Awadallah, Palo Alto, CA (US);

Sajjit Thampy, Sunnyvale, CA (US);

Inventors:

David Gerster, Burlingame, CA (US);

Amr Awadallah, Palo Alto, CA (US);

Sajjit Thampy, Sunnyvale, CA (US);

Assignee:

Yahoo! Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method of determining one or more association rules includes: specifying site-sequence values for users, wherein each user is identified with one of a plurality of engagement levels, and the site-sequence values indicate a sequence from a first site to a second site for at least one user identified with a corresponding engagement level; determining cumulative site-sequence values from the site-sequence values for combinations of pairs of sites and distinct engagement levels; determining likelihood values from the cumulative site-sequence values, wherein the likelihood values characterize probabilities for sequences between sites at distinct engagement levels; determining one or more association rules for pairs of sites from one or more corresponding likelihood values at one or more engagement levels, wherein each association rule indicates a sequential association between a corresponding pair of sites; determining one or more confidence values for the one or more association rules by calculating one or more variations of the likelihood values across the engagement levels; and saving one or more values for the one or more associations rules (e.g., likelihood values or confidence values).


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