Microsoft Technology Licensing, LLC

Other

Saar Yahalom

Blaise Aguera Y Arcas

Douglas Christopher Burger

Benny Schlesinger

Bart J F De Smet

Daniel Massey

Guy Kashtan

Christina Summer Chen

Ami Turgman

A computer system automatically generates service documentation based on usage of a web service. The computer system captures network traffic including actual requests to a service endpoint of the web service and actual responses from the service endpoint of the web service. The captured network traffic can be analyzed using machine learning to determine one or more operations that are available at the service endpoint, input arguments that are accepted by the service endpoint, and output arguments that are provided by the service endpoint. The computer system can automatically generate service documentation for the web service based on metadata that identifies the operations, the input arguments, and the output arguments.

Automatically generating service documentation based on actual usage

Systems and methods for providing client-side integration of apps and services is provided. An integration framework execution upon a computing device provides integration of various apps, applications, services, sensors and the like. Upon receiving a request for a service, the integration framework accesses a registry of a plurality of services of a respective plurality of providers registered with the integration framework. Each of the services is registered with the integration framework is associated with a trust level of a hierarchy of trust levels. The integration framework iteratively searches the registry for a provider of the requested service according to the hierarchy of trust levels, beginning with the most trusted level of the trust levels to the less trusted trust level until a provider of the requested service is found or until all levels of the hierarchy are searched without finding a provider of the requested service.

Client-side integration framework of services

A device set may interoperate to perform an action, such as providing a message to a user or storing photos taken by a user. Performing the action on all available devices may cause redundancy (e.g., presenting the same message to the user on each device), and depending on user selection (e.g., the user requesting to play music and specifically designating a device) may become onerous. A centralized, server-driven selection of the device to perform the action may be problematic if the server is inaccessible and/or inaccurate if not currently informed of the current state of each device. In accordance with the techniques presented herein, a requesting device broadcasts an action invitation to the device set. Each device provides a suitability report indicating its suitability to perform the action. The requesting device identifies one or more suitable devices, and sends an action request to identified devices to perform the action.

Peer-based device set actions

Architecture that enables users to define user interests, and when two or more people with matching interests (mutual) are identified in the same geographical area, the architecture actively notifies either one or both of the users (e.g., based on a given scenario). After being notified, either or both users can decide how to act (e.g., the user that wants to buy the car can call the user that wants to sell the car and then set a meeting at a suitable time). The architecture automatically creates dynamic geo-fences in association with users to perform different location-based matching scenarios. The locations of the users are continuously identified as the users move in a geographical area. When a matching interest is identified, the architecture actively notifies the users of items that might be of interest and which are currently occurring in the user vicinity.

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Tel Aviv, Israel

Saar Yahalom