Microsoft Technology Licensing, LLC

Expedia, Inc.

Li Wen

Zhanpeng Huo

Jingya Jiang

Chih-Yung Chen

Ling-Ya Huang

Hung Ju King

Wen-Chieh Chang

Shu-Fang Huang

Yan-Mei Jiang

Michael Jen-Chiung Chang

Yuli Huang

Michael J Chang

An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.

Image classification system

Technologies are described herein for recording user-driven events within a computing system. An interface is established between a recorder application and an input method editor ('IME') executing on the computer system. Through the use of the interface, the recorder application can obtain and record data identifying user-driven events that are performed within the IME. An interface is also established between the recorder application and a UI control that does not expose data regarding user-driven events through standard system calls. Through the use of the interface, the recorder application can obtain and record data identifying user-driven events detected at the UI control. The recorder application can also provide data identifying the recorded user-driven events directly to a bug tracking application program for inclusion in a bug database.

Recording user-driven events within a computing system

Methods, computers, and computer readable media are disclosed for recording user-driven events within an application running on a computer that utilizes a graphical user interface. Changes of focus of the application are detected and entries for the resulting focus are logged. While the changes of focus are being detected, the application is monitored for a window message that signifies user activity. When a window message occurs, the activity of the window message is used to specify the user-driven event. A focus of an entry previously logged may also be obtained and used to specify the user-driven event, such as a mouse click on a specific tool bar button of the graphical user interface. A series of user-driven events can be recorded up to the occurrence of an application malfunction, and then the recorded events can be followed by a user to reproduce the malfunction and begin debugging the application.

Recording of user-driven events within a computer application

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Redmond, WA, United States of America

Li Wen