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. 27, 2021

Filed:

Mar. 12, 2018
Applicant:

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

Inventors:

Alexis Bogie Jarr, Seattle, WA (US);

Anna Fumiko Trowbridge, Seattle, WA (US);

Sean Michael Bell, North Bend, WA (US);

Justin Maner, Auburn, WA (US);

Ruben Lozano-Aguilera, Seattle, WA (US);

Nicholas William Mahen, Seattle, WA (US);

Assignee:

A9.COM, INC., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06Q 30/06 (2012.01); G06F 16/248 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/248 (2019.01); G06F 16/285 (2019.01); G06Q 30/0603 (2013.01); G06Q 30/0625 (2013.01);
Abstract

In various embodiments, when a search query for certain products in an electronic catalog is received, a group of related products that are responsive to the search query may be identified. The product variants may be defined by one or more attributes. Each attribute may have one or more attribute values. The product variants may be first classified according to an attribute. One or more representative classes may be selected from the classes, for example, based on sales data (or other metric) and/or meaningful differentiation between the classes. Then a representative product variant from each class may be selected and returned as search results in response to the search query. In some embodiments, selection of the representative product variant from each class may be based on one or more factors, such as sales data, the particular customer's purchase or browsing history, cost, the search query, availability, among others.


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