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:
Mar. 08, 2022

Filed:

Feb. 19, 2020
Applicant:

Textio, Inc., Seattle, WA (US);

Inventors:

Kieran Snyder, Seattle, WA (US);

Robert E. Kolba, Jr., Seattle, WA (US);

Jensen Harris, Seattle, WA (US);

Assignee:

Textio, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/28 (2006.01); G06F 17/24 (2006.01); G06F 17/21 (2006.01); G06F 17/30 (2006.01); G06Q 30/02 (2012.01); G06Q 10/10 (2012.01); G06F 15/18 (2006.01); G06N 20/00 (2019.01); H04L 51/52 (2022.01); G06F 16/31 (2019.01); G06F 40/253 (2020.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/313 (2019.01); G06F 40/253 (2020.01); H04L 51/32 (2013.01);
Abstract

Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.


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