Microsoft Technology Licensing, LLC

Lin Wang

Gregory Powell Young

Chih-Pin Benjamin Kao

Deepak Sreenivas Pemmaraju

Keping Zhao

Marco Rossi

Smrati Gupta

Jamin Conrad Barker

Anushka Gupta

Xi Tong

Business goals may be achieved using adaptive rewarding for the personalization of contents. In response to receiving user information, personalized contents for the user can be recommended using a reinforcement learning algorithm. In response to presenting the personalized content to the user, an action by the user selecting a particular content may be received. A reward value can be calculated for the action based on a reward function. The reward function can be based, at least in part, upon the action, the selected content, and/or the user. The reward function can be based upon one or more business goals, such as user engagement, monetization, and/or security. The calculated reward value can be provided to the reinforcement learning algorithm, which can be adapted based upon the reward value for future selection of personalized contents.

Adaptive rewarding for content personalization

Systems and methods for synchronizing data between an online data source and a client application. The method includes, in response to a change in a permission associated with a user to a protected data set included in a shared data space of the online data source, receiving, with the client application associated with the user, a protected data synchronization token issued by the online data source associated with the protected data set and downloading, with the client application, the protected data set included in the shared data space from the online data source to the client application using the protected data synchronization token without re-downloading a public data set included in the shared data space. After downloading the protected data set, the method includes synchronizing the shared data space, including the protected data set and the public data set, using a stored data space synchronization token.

Sub-scope synchronization

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Sammamish, WA, United States of America

Lin Wang