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« Refereed Papers Track »
| Abuse, Security, and Privacy |Behavioral Analysis and Personalization |
| Bridging Structured and Unstructured Data | Content Analysis |
| Relevance and Ranking | Search Systems and Applications |
Semantic Web |Social Systems and Graph Analysis
| User Interaction and Mobility | Monetization |
| Performance, Scalability, and Availability | Software Infrastructure |
| Web For Emerging Regions |

| Developers Track | Panels | Posters | Tutorials | Workshops |
| PhD Symposium |
Demos | W3C |


The Web has become as a major economic phenomenon, acting both as a conduit for traditional endeavours such as business-to-business and business-to-consumer commerce, and as an arena for specific economic activities such as Web advertising, digital payment systems, and bandwidths provisioning. The WWW track on Internet Monetization is a forum for theoretical and applied research related to web-specific economic activities. The track will be interdisciplinary in nature. Relevant topics include (but are not limited to):


  • 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
  • Ad serving infrastructure
  • User-experience design aspects of Web monetization mechanisms
  • User behavior analysis and 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 commerce

Track Chairs

  • Roberto Bayardo, Google Research, USA
  • Kamesh Munagala, Duke, USA

Program Committee

  • Gagan Aggarwal  (Google, USA)
  • Sugato Basu (Google, USA)
  • Arpita Ghosh (Yahoo! Research, USA)
  • Sharad Goel  (Yahoo! Research, USA)
  • Sreenivas Gollapudi  (Microsoft Research, USA)
  • Mingyu Guo (University of Liverpool, UK)
  • Vahab Mirrokni  (Google Research, USA)
  • Hamid Nazerzadeh (USC and Microsoft Research, USA)
  • Mallesh Pai (University of Pennsylvania)
  • Matthew Richardson (Microsoft Research, USA)
  • Michael Schwarz (Yahoo! Research, USA)
  • James G. Shanahan (Independent Consultant, USA)
  • Ankur Teredesai (University of Washington, USA)
  • Siva Viswanathan (University of Maryland, USA)
  • Gui-Rong Xue (Shanghai Jiao Tong University, China)

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