Internet monetization and incentives
The Web has become as a major economic phenomenon, acting both as a conduit for traditional transactions such as business-to-business and business-to-consumer commerce, and as an arena for a specific variety of new economic activities such as Web advertising, digital payment systems, and bandwidth provisioning. The WWW track on Internet Monetization and Incentives is a forum for theoretical and applied research related to web-specific economic activities and incentive systems. The track goes beyond modeling users as benevolent or malicious, recognizing that the majority of users fall in between as self-interested entities or “homo economicus”.
The track will be interdisciplinary in nature. Relevant topics include (but are not limited to) :
Topics
- Computational advertising: sponsored search, content match, graphical ads delivery, targeting
- Machine learning and data mining applied to auction theory and user modeling in the context of Internet monetization
- Internet auctions, markets, and exchanges
- Economics aspects of online reviews, reputations, and ratings
- Monetizing digital media, user generated content, and the social web
- User-experience design aspects of Web monetization mechanisms
- Web analytics for e-commerce
- Economics of information/digital goods
- Advertising infrastructure: tools, platforms, networks, exchanges, automation, audience intelligence
- Economic approaches to spam/fraud control
- Social and crowdsourcing commerce
- E-commerce issues in cloud computing and and Web apps
- Mobile web advertising and locating-based e-commerce
- Decision-theoretic and game-theoretic modeling of online behavior
Track chairs
- Vanja Josifovski (Google)
- David Pennock (MSR NYC)
TPC Members
- Ankur Teredesai (University of Washington)
- Arpita Ghosh (Cornell University)
- Benjamin Lubin (Harvard)
- Eric Sodomka (Brown University)
- Gagan Goel (Google Research)
- Georgios Zervas (Yale University)
- Haifeng Wang (Baidu)
- Hamid Nazerzadeh (USC Marshall School of Business)
- Ingemar Cox (University College London)
- James G. Shanahan (Independent Consultant (San Francisco))
- Jayavel Shanmugasundaram (Google Inc.)
- Jian-Tao Sun (Microsoft Research Asia)
- Jun Yan (Microsoft Research Asia)
- Krishnamurthy Iyer (University of Pennsylvania)
- M. Yenmez (Carnegie Mellon University)
- Mallesh Pai (University of Pennsylvania)
- Marcus Fontoura (Google, Inc)
- Maria Grineva (Yandex)
- Michael Schapira (Yale University & U.C. Berkeley)
- Neel Sundaresan (eBay Research Labs)
- Nikhil Devanur (Microsoft Research)
- Patrick Jordan (Microsoft)
- Radu Jurca
- Ralf Herbrich (Facebook)
- Ramakrishna Akella (School of Engineering, University of California, Santa Cruz)
- Ronen Gradwohl (Weizmann Institute of Science)
- S. Muthukrishnan (Rutgers University)
- Sandeep Pandey (Twitter)
- Sebastien Lahaie
- Sergei Vassilvitskii (Google)
- Shaili Jain (Yale University)
- Siva Viswanathan (University of Maryland)
- Sreenivas Gollapudi (Microsoft Research)
- Sugato Basu (Google Research)
- Uri Nadav
- Vahab Mirrokni (Google Research)
- Ye Chen (Microsoft)
- Ying Li
