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公开(公告)号：US20250005397A1
公开(公告)日：2025-01-02
申请号：US18588534
申请日：2024-02-27
Applicant: Microsoft Technology Licensing, LLC
Inventor： Daniela ALEXANDER , Ahsanul HAQUE , Rajesh Shashikant KORDE , Minglei HUANG , Rui ZHU
Abstract: Methods and systems are provided for determining the category of a software application utilizing machine learning (ML) and knowledge graph techniques, and for controlling access to the application by a user based on the category and configured time restrictions for the user. The system includes a feature set extractor and a category predictor with a trained ML model. The trained ML model generates the category of the application based on a feature(s) of the application. The generated category is indicated in a data structure. An access request handler receives a request related to access to the application from a user device. A category determiner determines the category of the application from the data structure. A time usage manager determines an available time usage for the category and the specified user. The access arbiter responds to the request from the user device with the available time usage.
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公开(公告)号：US20230420103A1
公开(公告)日：2023-12-28
申请号：US17850311
申请日：2022-06-27
Applicant: Microsoft Technology Licensing, LLC
Inventor： Rui ZHU , Alekhya NANDULA , Luke Nitish KUMAR , Justin James WAGLE
Abstract: Systems, methods, and software are disclosed herein that provide a computer-based user experience that allows a user to consume information about physical and digital activities undertaken by one or more users. In an implementation, a software application on a computing device communicates with an online service to obtain activity information indicative of such activities, as well as activity topics produced by the service. The application groups the activities into activity groups based at least on the topics produced for the activities, and displays the activity groups in a user interface to the application.
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