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:
Jul. 26, 2022

Filed:

Mar. 26, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Huichao Xue, Santa Clara, CA (US);

Girish Kathalagiri Somashekariah, Santa Clara, CA (US);

Ye Yuan, Mountain View, CA (US);

Varun Mithal, Sunnyvale, CA (US);

Junrui Xu, Fremont, CA (US);

Ada Cheuk Ying Yu, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9535 (2019.01); G06N 5/04 (2006.01); G06F 16/901 (2019.01); G06N 20/00 (2019.01); G06F 16/9536 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/9024 (2019.01); G06F 16/9535 (2019.01); G06F 16/9536 (2019.01); G06N 20/00 (2019.01);
Abstract

In some embodiments, a computer system selects a first subset of candidate content items based on their filter scores that are generated based on a partial generalized linear mixed model comprising a baseline model and a user-based model, with the baseline model being a generalized linear model, and the user-based model being a random effects model based on user actions by the target user directed towards reference content items related to the candidate content items. In some embodiments, the computer system then selects a second subset from the first subset based on recommendation scores that are generated based on a full generalized linear mixed model comprising the baseline model, the user-based model, and an item-based model, with the item-based model being a random effects model based on user actions directed towards the candidate online content item by reference users related to the target user.


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