NDLI: Improving IP Geolocation using Query Logs

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Improving IP Geolocation using Query Logs

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Improving IP Geolocation using Query Logs

Content Provider	ACM Digital Library
Author	Parikh, Vaibhav Davison, Brian D. Dan, Ovidiu
Abstract	IP geolocation databases map IP addresses to their geographical locations. These databases are important for several applications such as local search engine relevance, credit card fraud protection, geotargetted advertising, and online content delivery. While they are the most popular method of geolocation, they can have low accuracy at the city level. In this paper we evaluate and improve IP geolocation databases using data collected from search engine logs. We generate a large ground-truth dataset using real time global positioning data extracted from search engine logs. We show that incorrect geolocation information can have a negative impact on implicit user metrics. Using the dataset we measure the accuracy of three state-of-the-art commercial IP geolocation databases. We then introduce a technique to improve existing geolocation databases by mining explicit locations from query logs. We show significant accuracy gains in 44 to 49 out of the top 50 countries, depending on the IP geolocation database. Finally, we validate the approach with a large scale A/B experiment that shows improvements in several user metrics.
Starting Page	347
Ending Page	356
Page Count	10
File Format	PDF
ISBN	9781450337168
DOI	10.1145/2835776.2835820
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-02-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Contextual relevance Local search Ip geolocation Geographic targeting Geotargeting Geographic personalization
Content Type	Text
Resource Type	Article

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