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. 25, 2010

Filed:

Jul. 27, 2005
Applicants:

Daniel Frederick Gruhl, San Jose, CA (US);

Ramanathan Vaidhyanath Guha, Los Altos, CA (US);

Jasmine Novak, Mountain View, CA (US);

Shanmugasundaram Ravikumar, San Jose, CA (US);

Andrew S. Tomkins, San Jose, CA (US);

Inventors:

Daniel Frederick Gruhl, San Jose, CA (US);

Ramanathan Vaidhyanath Guha, Los Altos, CA (US);

Jasmine Novak, Mountain View, CA (US);

Shanmugasundaram Ravikumar, San Jose, CA (US);

Andrew S. Tomkins, San Jose, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

A sales prediction system predicts sales from online public discussions. The system utilizes manually or automatically formulated predicates to capture subsets of postings in online public discussions. The system predicts spikes in sales rank based on online chatter. The system comprises automated algorithms that predict spikes in sales rank given a time series of counts of online discussions such as blog postings. The system utilizes a stateless model of customer behavior based on a series of states of excitation that are increasingly likely to lead to a purchase decision. The stateless model of customer behavior yields a predictor of sales rank spikes that is significantly more accurate than conventional techniques operating on sales rank data alone.


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