The PlaceIQ Analytic Platform: Location Oriented Approaches to Mobile Audiences
Authors: 
Juan M. Huerta, Jonathan Lenaghan, Steve Milton, Kevin Brackney, Amol Kapila, Roman Shraga, Rachit Srivastava, Carmem Domingues Khoa Pham, Eliza Chang, Susan Zhang, Evan Picard, Alexandra Dango, Ranqi ZhuAuthors Info & Claims
Juan M. Huerta, Jonathan Lenaghan, Steve Milton, Kevin Brackney, Amol Kapila, Roman Shraga, Rachit Srivastava, Carmem Domingues Khoa Pham, Eliza Chang, Susan Zhang, Evan Picard, Alexandra Dango, Ranqi ZhuAuthors Info & ClaimsPages 1 - 9
Abstract
The PlaceIQ platform is a large-scale data analysis system created on the concept of location. This paper is a system overview where we provide an description of the nature of the data sources, frame of reference, abstractions, algorithmic approaches, as well as the main design tradeoffs of this system. We also provide a list of some of the lessons we learned after deploying and using this platform for numerous actual mobile advertisement campaigns. Additionally, we describe the Place Visit Rate, which is a location-based criterion for quantifying campaign response. We believe that the lift we see in Place Visit Rate in actual mobile campaigns using PIQ's audiences is a form of validation of our overall approach and provides us with guidance and feedback regarding the quality of the algorithms and audiences we create.
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- The PlaceIQ Analytic Platform: Location Oriented Approaches to Mobile Audiences
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Published In
August 2014
65 pages
ISBN:9781450329996
DOI:10.1145/2648584
Copyright © 2014 ACM.
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Published: 24 August 2014
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KDD '14: The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
August 24 - 27, 2014
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