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:
Aug. 31, 2021

Filed:

Jun. 28, 2018
Applicant:

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

Inventors:

Rohan Ramanath, Saratoga, CA (US);

Gungor Polatkan, San Jose, CA (US);

Qi Guo, Sunnyvale, CA (US);

Cagri Ozcaglar, Sunnyvale, CA (US);

Krishnaram Kenthapadi, Sunnyvale, CA (US);

Sahin Cem Geyik, Redwood City, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06F 16/248 (2019.01); G06F 16/901 (2019.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 16/248 (2019.01); G06F 16/9024 (2019.01); G06N 3/04 (2013.01);
Abstract

Techniques for implementing a learning semantic representations of sparse entities using unsupervised embeddings are disclosed herein. In some embodiments, a computer system accesses corresponding profile data of users indicating at least one entity of a first facet type associated with the user, and generating a graph data structure comprising nodes and edges based on the accessed profile data, with each node corresponding to a different entity indicated by the accessed profile data, and each edge directly connecting a different pair of nodes and indicating a number of users whose profile data indicates both entities of the pair of nodes. The computer system generating a corresponding embedding vector for the entities based on the graph data structure using an unsupervised machine learning algorithm.


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