Microsoft Technology Licensing, LLC

Kevin Christopher Clement

Srinivasa Reddy Manda

Gautam Bhakar

Zohaib Haider Ali

Kenneth Ping-Kuen Chau

Samuele Carpineti

Jun Yan

David Paul Limont

Selvaraj Nalliah

Thomas W Millett

Russell L Simpson, Jr

Eduardo D Melo

David Lloyd Meyers, Jr

Christian Piccolo

Ankit Goel

Mihir S Ray

Sirish Kumar Balaga

David Meyers

Xiao Hu

Craig Edward Thomas

Sara Louise Manning Dawson

Tao Zhang

Provided herein are systems, methods, and software for implementing information management applications. In an implementation, an application embodied in program instructions stored on one or more computer readable storage media comprises components and a control component. The components communicate requests to invoke others of the components. The control component handles the requests by at least determining whether or not any component identified by the requests has already been downloaded or is yet to be downloaded. The control component invokes the component when already downloaded and retrieves the component when not yet downloaded.

Component loading based on user interactions

Variety of approaches to optimize performance based on behavioral and situational signals are described. A productivity service initiates operations to optimize performance upon receiving a behavioral signal and/or a situational signal associated with a user. The behavioral signal and/or the situational signal are analyzed to infer a usage pattern associated with a component of an application. Next, a failure of the usage pattern is detected in a comparison to an utility threshold. In response, the application is instructed to interrupt an execution of the component.

Optimizing performance based on behavioral and situational signals

A computer-implemented technique is described herein for customizing user experience on a per-user basis. In some implementations, the technique involves: collecting feedback information from a user pertaining to the user's interaction with a program feature; determining a modification to be made to the program feature based on the feedback information; making the modification; notifying the user of the modification; and receiving the user's post-modification assessment of the modification. The technique enables a program provider to quickly modify program features in an automated manner, with no (or reduced) effort by human developers, and at consequent reduced cost. In addition, the technique improves the users' experience with the program features since the program modifications are tailored to each user's preferences.

Customizing program features on a per-user basis

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Redmond, WA, United States of America

Kevin Christopher Clement