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. 30, 2026

Filed:

Aug. 29, 2022
Applicant:

Lemon Inc., Grand Cayman, KY;

Inventors:

Jiankai Sun, Los Angeles, CA (US);

Xinlei Xu, Los Angeles, CA (US);

Xin Yang, Los Angeles, CA (US);

Yuanshun Yao, Los Angeles, CA (US);

Chong Wang, Los Angeles, CA (US);

Assignee:

Lemon Inc., Grand Cayman, KY;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 21/6245 (2013.01);
Abstract

The present disclosure describes techniques of performing machine unlearning in a recommendation model. An unlearning process of the recommendation model may be initiated in response to receiving a request for deleting a fraction of user data from any particular user. The recommendation model may be pre-trained to recommend content to users based at least in part on user data. Values of entries in a matrix corresponding to the fraction of user data may be configured as zero. The matrix may comprise entries denoting preferences of users with respect to content items. Confidence values associated with the fraction of user data may be configured as zero to block influence of the fraction of user data on performance of the recommendation model. The unlearning process may be implemented by performing a number of iterations until the recommendation model has converged.


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