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. 25, 2023

Filed:

Jun. 25, 2020
Applicant:

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

Inventors:

Longqi Yang, Bellevue, WA (US);

Tobias Benjamin Schnabel, Redmond, WA (US);

Paul Nathan Bennett, Redmond, WA (US);

Susan Theresa Dumais, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0204 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/04 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0204 (2013.01); G06Q 30/0631 (2013.01);
Abstract

The present concepts relate to a differentiable user-item co-clustering ('DUICC') model for recommendation and co-clustering. Users' interaction with items (e.g., content) may be centered around information co-clusters—groups of items and users that exhibit common consumption behavior. The DUICC model may learn fine-grained co-cluster structures of items and users based on their interaction data. The DUICC model can then leverage the learned latent co-cluster structures to calculate preference stores of the items for a user. The top scoring items may be presented to the user as recommendations.


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