Microsoft Technology Licensing, LLC

Maksym Bondarenko

Siddhartha Cingh Arora

Vaibhav Girish Parikh

Ovidiu Dan

Dipanjan Ghosh

Maryam Khabazan

Manali Dongre

Sharrief Shabazz

Hans Have

Generating an improved/more accurate geolocation database is provided. Given a dataset of reverse DNS hostnames for IP addresses, ground truth information, and a hierarchical geographical database, a machine learning classifier can be trained to extract and disambiguate location information from the reverse DNS hostnames of IP addresses and to apply machine learning algorithms to determine location candidates and to select a most probable candidate for a reverse DNS hostname based on a confidence score. The classifier can be used to generate an accurate geolocation database, or to provide accurate geolocation information as a service.

Geolocation using reverse domain name server information

User interactions with a computing system are sensed and recorded. The recording represents a process for controlling a computer system. Voice input are received and the computer system actions that are taken based upon the voice inputs and a task recording.

Automatic process guidance

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Redmond, WA, United States of America

Maksym Bondarenko