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:
Jun. 15, 2021

Filed:

Nov. 16, 2018
Applicant:

Pinterest, Inc., San Francisco, CA (US);

Inventors:

Yunshan Lu, Palo Alto, CA (US);

Gordon P. Rios, Palo Alto, CA (US);

Michael Tanne, Los Altos, CA (US);

Assignee:

Pinterest, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/35 (2019.01); G06F 16/248 (2019.01); G06F 16/338 (2019.01); G06F 16/332 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/248 (2019.01); G06F 16/338 (2019.01); G06F 16/3326 (2019.01); G06F 16/35 (2019.01); G06N 3/08 (2013.01); Y10S 707/99933 (2013.01);
Abstract

The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.


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