The Internet has become an important element of the economic system. Internet economy, a form of conducting business based on the Internet and World-Wide Web,
has seen exponential growth in the past decades. Not only the online advertising has been growing rapidly but also many internet-based companies have been established
and been changing the whole world and our daily lives continuously.
This fertile economic environment brings about large volumes of data along with great challenges to the data mining and related communities.
As a key component in the whole internet ecosystem, online advertising has been growing rapidly with constantly evolving business models and practices.
Examples of online advertising include sponsored search, display advertising, rich media ads, social network advertising, interstitial ads,
online classified advertising, e-mail marketing, viral marketing, and so on.
With the rapid growth of social network, social network advertising is taking off and playing an important role in the whole landscape.
Therefore, understanding end users’ needs and advertisers’ goals, as well as figuring out the right strategy to connect user and ads for each type of advertising, will benefit all players in advertising marketplaces and enable technologies for the right advertisement to be delivered to the right users at the right time. Driven by this goal, breakthrough data mining methodologies and applications will appear in the advertising domain.
Following on the success of
is to be held in Beijing, China, in conjunction with
to provide a high-level international forum
for researchers and industry practitioners from data mining community and
other related areas (such as economics) to present the state of the art of algorithms and applications, to exchange latest research results, to discuss future directions, and to
construct collaborations, for online advertising and internet economy.
ADKDD 2012 also emphasizes the importance of participation and provides ample time for discussions among all the participants.
Papers on all aspects of data mining for advertising and internet economy are solicited. Areas of interest include, but are not limited to: Mining for Ad Relevance and Ranking; Audience Intelligence & User Modeling; Content Understanding; Search Engine Marketing, Optimization, Data Mining for E-Commerce, Econometrics and Behavioral Economics, Game-theoretic Data Mining, Data-driven Mechanism Design, Auctions for E-Commerce, and Other Topics in Online Advertising and Internet Economy.