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:
Aug. 30, 2022

Filed:

Nov. 28, 2017
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Madelaine Daianu, San Diego, CA (US);

Yao Morin, San Diego, CA (US);

Ling Feng Wei, San Diego, CA (US);

Chris Peters, San Diego, CA (US);

Itai Jeczmien, San Diego, CA (US);

Assignee:

INTUIT, INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/451 (2018.01); G06N 3/08 (2006.01); G06Q 40/00 (2012.01); H04L 67/306 (2022.01); G06F 3/048 (2013.01); H04L 51/52 (2022.01);
U.S. Cl.
CPC ...
G06F 9/453 (2018.02); G06F 3/048 (2013.01); G06N 3/08 (2013.01); G06Q 40/10 (2013.01); G06Q 40/123 (2013.12); H04L 51/52 (2022.05); H04L 67/306 (2013.01);
Abstract

Method and apparatus for providing personalized self-help experience in online application. A predictive model is trained to learn a relationship between one or more user features and one or more tags using historical user feature data. High-dimensional vectors representing each of a plurality of questions are generated and stored in the lookup table. The trained predictive model outputs tags probabilities from the incoming user data, using the learned relationship. A user high-dimensional vector is formed based on the tags probabilities. Similarity metrics are calculated between the high-dimensional vector for the respective question and the user high dimensional vector. One or more of the most relevant question titles are returned to a client device for presentation to a user.


Find Patent Forward Citations

Loading…