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:
Feb. 24, 2026

Filed:

Mar. 30, 2023
Applicant:

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

Inventors:

Yu Wang, Chicago, IL (US);

Zhengyang Wang, Sammamish, WA (US);

Qingyu Yin, Mountain View, CA (US);

Xianfeng Tang, San Jose, CA (US);

Xiao Cheng, Palo Alto, CA (US);

Bing Yin, Palo Alto, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9532 (2019.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 16/9532 (2019.01); G06F 40/30 (2020.01);
Abstract

A sequence of search queries received from a user and the manner in which each successive query is changed is used to determine the intent associated with each query. The resulting sequence of intents is used to predict the next intent of the user, in combination with user interactions with search results and the number of queries of different intents that have occurred in the sequence. The predicted next intent is then used in combination with the sequence of queries to predict and recommend one or more subsequent search queries that correspond with the predicted intent of the user. Recommended queries that correspond to a changed intent of the user avoid presentation of irrelevant information, facilitate performance of searches by the user with less manual input, and in some cases may enable precomputation of search results for recommended queries to enable results to be presented more efficiently.


Find Patent Forward Citations

Wang, Yu. (2026). Systems for recommending search queries based on determined user intent (U.S. Patent No. 12561383). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12561383

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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