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.
Patent No.:
Date of Patent:
Oct. 28, 2025
Filed:
Jun. 09, 2023
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Yao Chen, San Jose, CA (US);
Lingjie Weng, Sunnyvale, CA (US);
Arvind Murali Mohan, Sunnyvale, CA (US);
Hongbo Zhao, San Jose, CA (US);
Lu Chen, Sunnyvale, CA (US);
Dipen Thakkar, San Jose, CA (US);
Xiaoxi Zhao, Milpitas, CA (US);
Shifu Wang, San Jose, CA (US);
Jim Chang, Cupertino, CA (US);
Daniel D Thorndyke, San Jose, CA (US);
Smriti R. Ramakrishnan, Belmont, CA (US);
MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US);
Abstract
In an example embodiment, machine learning is utilized to make recommendations for next actions by users of an online network. These next actions are called 'next best actions.' The machine learning may be performed to train a multitask deep machine learning model to make recommendations based on a series of inputs, including, for example, contextual information that relies upon action sequences of the user and historical users, and user intent. The use of a multitask deep machine learning model allows for the model to generate action recommendations that are personalized, contextual, and coordinate across various different aspects of the online network, rather than being limited to only a single aspect. Likewise, the multi-task deep machine learning model can also be tailored to optimized different use-case specific objectives while at the same time being easy to scale and maintain.