Microsoft Technology Licensing, LLC

Kyle Mark Williams

Imed Zitouni

Ahmed Hassan Awadallah

Aidan C Crook

Bradley Wethington

A method for automatically cross-linking a plurality of APIs in an artificial intelligence (AI) graph structure comprises maintaining an AI graph structure defining a plurality of API-agnostic semantic entities, a plurality of function nodes, a plurality of input-adapter edges, and a plurality of output adapter edges. The method further comprises cross-linking a new function from a new API by computer-analyzing documentation of the new API with a natural language processing (NLP) machine in order to recognize the new function, and updating the AI graph data structure to include a new function node based on the new function.

Automatically cross-linking application programming interfaces

Examples of the present disclosure describe systems and methods of identifying good and bad abandonment using gesture movement. In aspects, user feedback signals may be received by a client device in response to the viewing and/or navigation of query results. The feedback signals may be provided to a framework for determining and/or analyzing query abandonment. The framework may identify gesture data in the feedback signals and extract feature data from the gesture data. The feature data may be provided to a metrics component to determine metrics and/or satisfaction values for the feature data. The metrics and/or feature data may be used to train a predictive model to identify good abandonment in query results.

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Seattle, WA, United States of America

Kyle Mark Williams