Microsoft Technology Licensing, LLC

Ryan D Clark

Siddhartha Cingh Arora

Arnab Nandi

Benjamin James Gaska

Ovidiu Dan

Vaibhav Girish Parikh

The invention generally relates to systems and methods for determining geolocation for networks (e.g., IP addresses) for which accurate geolocation information in unknown. Various techniques are described for determining the physical location of networks by tracking user/device movement across different networks, and more particularly by tracking movement of particular users and/or devices from networks with known geolocation to networks with unknown geolocation. Aspects of the technology include using time and network address information (e.g., IP addresses) from user's queries and merging this information with known geolocation information to create new, high quality, geolocation mappings for previously unseen networks.

Determining geolocation of IP addresses using user transitions over time

Architecture that improves the quality of RevIP databases using search engine query logs and other location information sources and finds IP addresses that share multiple locations (indicative of large Internet gateways). A ground truth dataset is generated with mappings of IP addresses to locations and IP ranges to locations which are known to be correct. Additionally, the architecture can determine which types of queries and SERP page blocks (page sections) are location aware. Location information can be extracted from user queries and the most-frequently-used locations aggregated per IP address. Dominant locations can be aggregated, mapped to existing RevIP database IP address ranges and replaced. The updated RevIP database can be evaluated against the ground truth dataset. RevIP IP address ranges can be split and combined to improve the overall performance of the RevIP database.

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Woodinville, WA, United States of America

Ryan D Clark