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. 16, 2019

Filed:

Feb. 15, 2017
Applicant:

Linkedin Corporation, Sunnyvale, CA (US);

Inventors:

Yi Li, San Jose, CA (US);

Victor Chen, Foster City, CA (US);

Krishnaram Kenthapadi, Sunnyvale, CA (US);

Ganesh Venkataraman, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/00 (2012.01); G06Q 10/10 (2012.01); G06N 99/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 10/1053 (2013.01); G06N 99/005 (2013.01); G06Q 50/01 (2013.01);
Abstract

The disclosed subject matter involves identifying clusters and segments of a population of data for use in a recommendation service. Clusters of members or items are formed, where the clusters, or partitions are close to being equal in size, items are distributed based on similarities identified with matrix factorization. A matrix used in the matrix factorization is customized based on the recommendation type. The items are formed into clusters based on the similarities and the clusters are used in training of a generalized linear mixed model treating the clusters as random-level effects. The trained model may be used in the recommendation service. Other embodiments are described and claimed.


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Li, Yi. (2019). Efficient recommendation services (U.S. Patent No. 10262299). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10262299

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