| Browsers and User Interfaces | Data Mining | Industrial Practice and Experience |
| Internet Monetization | Mobility | Performance and Scalability | Rich Media | Search |
| Security and Privacy | Semantic / Data Web | Social Networks and Web 2.0 |
| Technology for Developing Regions | Web Engineering | WWW in China | XML and Web Data |
Developers Track | Panels | Posters | Tutorials | Workshops
Industrial Practice and Experience
The Industrial Practice and Experience track has a few open speaker slots. Vendors and industry people wishing to present practical issues encountered in developing Web-based systems are invited to send an abstract and short bio to one of the Industrial track co-chairs. For more information on the Industrial track and topics of interest see details below or contact for more information.
Building robust systems and services that are deployed on the Web or that make use of Web data present a series of interesting challenges to practitioners. Such challenges range broadly from appropriately scaling algorithms to Web-scale data, to dealing effectively with large numbers of distributed users, to robustly operating in adversarial situations where intentional misinformation (e.g., cloaking, spamming, etc.) is provided on the Web. In many cases, adequately addressing such practical issues can make critical differences in the viability and ultimate success of a Web-based system.
The Industrial Practice and Experience track invites submissions reporting on research and development addressing practical issues encountered in developing Web-based systems. This includes both theoretical and applied research on a variety of topics, a representative (but, by no means exhaustive) sampling of which includes:
Adversarial challenges in Web-based systems, such as denial of service attacks, spoofing, etc.
Web spam, cloaking, and/or other forms of misinformation
Scalable platforms and architectures for Web applications, including infrastructure for Web services and social networking applications.
Issues of data integrity and reliability.
Using Web data to enhance other (potentially non-Web-based) systems.
Novel methods and modifications to existing algorithms to allow them to deal effectively with Web-scale data.
Lessons learned (both positive and negative) from running Web-based systems, including (but not limited to), search engines, Web-based gaming and streaming services, and social networking portals.
General issues in the research, development and/or deployment of successful Web applications.
Paper formatting requirements will be provided on the submissions page.
Jayavel Shanmugasundaram (Yahoo! Research, USA)
Hugh Williams (Microsoft, USA)
Aya Soffer (IBM Research Haifa, Israel)
Beng Chin Ooi (National University of Singapore)
Craig Nevill-Manning (Google)
Daniel Appelquist (Vodafone)
Daniel Tunkelang (Endeca)
David Hawking (CSIRO ICT Centre)
Dennis Fetterly (Microsoft Research)
Jan Pedersen (Yahoo! Inc.)
Michael Herscovici (Google)
Rosie Jones (Yahoo! Research)
Saied Tahaghoghi (RMIT University)
Swami Sivasubramanian (Amazon.com)
Vladimir Soroka (IBM)
Yue Pan (IBM China Research Laboratory)
Zijian Zheng (Microsoft)