Microsoft Technology Licensing, LLC

Daniel D Thorndyke

Yao Chen

Lingjie Weng

Arvind Murali Mohan

Dipen Thakkar

Hongbo Zhao

Shifu Wang

Xiaoxi Zhao

Lu Chen

Jim Chang

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.

Machine learning for predicting next best action

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San Jose, CA, United States of America

Daniel D Thorndyke