| Data Mining | Industrial Practice and Experience | Internet Monetization |
Performance, Scalability and Availability | Rich Media | Search | Security and Privacy |
| Semantic / Data Web | Social Networks and Web 2.0 | User Interfaces and Mobile Web |
|Web Engineering | WWW in Ibero-America | XML and Web Data |
| Developers Track | Panels | Posters | Tutorials | Workshops |
Industrial Practice and Experience
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. In addition, insight to real user experiences and test cases is invaluable for researchers and practitioners alike.
The Industrial Practice and Experience track serves as a forum for high quality papers reporting on the more practical issues and experiences encountered when building large scale Web-based systems that are deployed to a large number of users. As such, the Industrial Practice and Experience invites submissions reporting research and development of actual systems and the experiences encountered when deploying to large scale user base. Demonstrations (when appropriate) are encouraged as part of the submission (via a URL to the actual system or a recording of its use).
Topics of interest include (but are by no means limited to) the following:
- Scalable platforms and architectures for Web applications, including infrastructure for Web services and social networking applications.
- Issues of data integrity, reliability and privacy.
- 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.
- Monetizing Web-based systems
- Transferring the Web experience to Mobile devices
- User studies of Web-based systems
- Adversarial challenges in Web-based systems, such as denial of service attacks, spoofing, etc.
- Web spam, cloaking, and/or other forms of misinformation
- General issues in the research, development and/or deployment of successful Web applications.
Paper formatting requirements are provided on the Submission page.
- Aya Soffer, IBM Research, Haifa, Israel
- Marc Najork, Microsoft, USA
- Daniel Appelquist ( Vodafone, UK)
- Beng Chin Ooi ( National University of Singapore, Singapore)
- Dennis Fetterly ( Microsoft Research, US)
- Michael Herscovici ( Google, Israel)
- David Konopnicki ( IBM Haifa, Israel)
- Yue Pan ( IBM China Research Laboratory, China)
- Rina Panigrahy ( Microsoft Research, US)
- Jan Pedersen ( Yahoo! Inc, US)
- Swami Sivasubramanian ( Amazon.com, US)
- Saied Tahaghoghi ( Microsoft, US)
- Michael Taylor ( Microsoft Research Cambridge, UK)
- Roelof Van Zwol ( Yahoo!, Spain)
- Zijian Zheng ( Microsoft, China)