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:
Jan. 28, 2025

Filed:

Aug. 17, 2021
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Haode Yang, Seattle, WA (US);

Dan Bu, Kirkland, WA (US);

Roberto Fernandez Galan, Bellevue, WA (US);

Parth Gupta, Gandhinagar, IN;

Dongmei Jia, Bellevue, WA (US);

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/953 (2019.01); G06F 16/33 (2019.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06F 16/953 (2019.01); G06F 16/3344 (2019.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0625 (2013.01); G06Q 30/0631 (2013.01);
Abstract

Techniques are generally described for modeling seasonal relevance for online search. A first query or item comprising text is received. A language model may be used to generate a plurality of token embeddings representing the text. In some cases, the first neural network may predict a seasonal relevance vector for the first query or item based on the plurality of token embeddings, the seasonal relevance vector being predicted based at least in part on a similarity between the text of the first query or item and at least one other query/item for which monthly concentration data is available. The seasonal relevance vector, including a respective seasonal relevance score for each month of a year, may be output.


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