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WWW 2015 workshop
Ad Targeting at Scale

Organized in conjunction with WWW 2015 , the workshop aims to bring together interdisciplinary researchers from both academy and industry research labs, to share, exchange, learn, and develop upon preliminary results, novel concepts, ideas, principles, and methodologies on applying data mining and machine learning to Ad Targeting. 

Recent advent of big data applications and platforms has led to a renaissance in many areas of machine learning and data mining. Computational advertising, a burgeoning field that accumulated revenue of over 20 billion dollars in the first half of 2014 in the US alone, has particularly benefited, and the industry has observed a steady two-digit growth in the past few years. However, in order to maintain and improve upon this positive trend, researchers in academia and industry alike are faced with numerous theoretical and practical challenges that require immediate attention. 

Objective of the workshop is to bring together interdisciplinary practitioners and researchers from industrial and academic research labs to discuss state-of-the-art research and future directions in the fields of Ad Targeting, User Modeling, Recommender Systems, and related areas in the era of Big Data. We expect the workshop to help develop and grow stronger a community of interested researchers, and yield future collaborations and exchanges.

This workshop builds upon successful events previously organized at WWW 2008 and ICML 2012, and aims to act as a discussion forum for researchers from all areas of machine learning and data mining, interested in solving the burning problems from the Ad Targeting domain.

The topics of this workshop include, but are not limited to, the following areas:
  • Machine learning-based Ad Targeting
  • Ad Targeting in Social Networks
  • Ad Targeting and Big Data
  • Ad Targeting on Mobile Devices
  • Big Data Platforms
  • Recommender systems
  • Pay-per-install targeting strategies
  • In-game and in-app advertising
  • Deep Learning for Ad Targeting
  • Machine Learning in Sponsored Search
  • Contextual advertising
  • Large-scale user modeling for Ad Targeting
  • Data-driven methods for interest targeting
  • Privacy-preserving targeting
  • Behavioral targeting
  • Personalization
  • User Modeling
  • Post-conversion Feature Attribution
  • Learning to rank for interest targeting
  • Click-conversion modeling
  • Machine Learning for bidding strategies
  • Content categorization for ad targeting
  • Experience with deployed systems
The workshop is organized by the following industry researchers:
 The program committee of the workshop includes the following area experts:
Important dates (midnight Hawaii time):
Submission     :  January 25th, 2015
Decisions         :  February 22th, 2015
Camera-ready :  March 8, 2015
Workshop        :  May 18, 2015

Formatting and publishing:
There will be a 6-page limit on workshop papers using the ACM format. Workshop proceedings will be included in the Companion volume to the WWW 2015 Proceedings, published by ACM and included in the ACM Digital Library.
Please note that WWW 2015 organizers will require at least one registration per paper published in either the main Proceedings or in the Companion volume.