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:
Apr. 12, 2022

Filed:

Mar. 12, 2019
Applicant:

A9.com, Inc., Palo Alto, CA (US);

Inventors:

Adrian Boteanu, Somerville, MA (US);

Michael James Morris, Boston, MA (US);

Joshua Christian Snyder, Somerville, MA (US);

Adam Kiezun, Belmont, MA (US);

Gaurav Gupta, Bellevue, WA (US);

Shay Artzi, Brookline, MA (US);

Assignee:

A9.com, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/908 (2019.01); G06F 16/951 (2019.01); G06F 16/955 (2019.01); G06F 16/957 (2019.01); G06F 16/958 (2019.01); G06F 40/205 (2020.01); G06N 3/02 (2006.01); G06N 5/02 (2006.01); G06Q 30/06 (2012.01);
U.S. Cl.
CPC ...
G06F 16/972 (2019.01); G06F 16/908 (2019.01); G06F 16/951 (2019.01); G06F 16/9566 (2019.01); G06F 16/9574 (2019.01); G06F 40/205 (2020.01); G06N 3/02 (2013.01); G06N 5/02 (2013.01); G06Q 30/0643 (2013.01);
Abstract

Systems and methods are disclosed for refining the accuracy of network searches by supplementing existing keywords and key phrases in an e-commerce catalog or other database with aggregated and analyzed additional, external data. The internet or another network can be crawled for identifiers which point to entries in the catalog or other database, and, subject to third-party use restrictions, data and metadata can be extracted to enrich the existing keywords and key phrases. The extracted external content may be processed by machine learning techniques in order to find similar entries in the original catalog or database. Categorizing and indexing the entries further improves search recall, including clustering via processing word embeddings.


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