This competition involves advertisement data provided by BuzzCity Pte. Ltd. BuzzCity is a global mobile advertising network that has millions of consumers around the world on mobile phones and devices. In Q1 2012, over 45 billion ad banners were delivered across the BuzzCity network consisting of more than 10,000 publisher sites which reach an average of over 300 million unique users per month. The number of smartphones active on the network has also grown significantly. Smartphones now account for more than 32% phones that are served advertisements across the BuzzCity network.
The "raw" data used in this competition has two types: publisher database and click database, both provided in CSV format. The publisher database records the publisher's (aka partner's) profile and comprises several fields:
Bankaccount - Bank account associated with a publisher (may be empty)
address - Mailing address of a publisher (obfuscated; may be empty)
status - Label of a publisher, which can be the following:
- "OK" - Publishers whom BuzzCity deems as having healthy traffic (or those who slipped their detection mechanisms)
- "Observation" - Publishers who may have just started their traffic or their traffic statistics deviates from system wide average. BuzzCity does not have any conclusive stand with these publishers yet
- "Fraud" - Publishers who are deemed as fraudulent with clear proof. Buzzcity suspends their accounts and their earnings will not be paid
On the other hand, the click database records the click traffics and has several fields:
numericip - Public IP address of a clicker/visitor
deviceua - Phone model used by a clicker/visitor
publisherid - Unique identifier of a publisher
adscampaignid - Unique identifier of a given advertisement campaign
usercountry - Country from which the surfer is
clicktime - Timestamp of a given click (in YYYY-MM-DD format)
publisherchannel - Publisher's channel type, which can be the following:
- ad - Adult sites
- co - Community
- es - Entertainment and lifestyle
- gd - Glamour and dating
- in - Information
- mc - Mobile content
- pp - Premium portal
- se - Search, portal, services
- referredurl - URL where the ad banners were clicked (obfuscated; may be empty). More details about the HTTP Referer protocol can be found in this article.
Kindly cite the following paper if you use the dataset:
R. J. Oentaryo, E.-P. Lim, M. Finegold, D. Lo, F.-D. Zhu, C. Phua, E.-Y. Cheu, G.-E. Yap, K. Sim, M. N. Nguyen, K. Perera, B. Neupane, M. Faisal, Z.-Y. Aung, W. L. Woon, W. Chen, D. Patel, and D. Berrar, "Detecting click fraud in online advertising: A data mining approach," Journal of Machine Learning Research, vol. 15, pp. 99-140, 2014.
Last updated on 09 Dec 2019 .