Where did the researchers go?: supporting social navigation at a large academic

ABSTRACT

Dealing with the information overload is an important challenge. Over the last decade researchers have tried to tackle that problem using social technologies. We present a social information access system that helps researchers attending a large academic conference to plan talks they wish to attend. More specifically, we have tried to address the problem of collecting reliable feedback from the community of users. Following "do it for yourself" approach, the system encourages users to add interesting talks to their individual schedules and uses scheduling information for social navigation support. We also report results of evaluation of the system at the ELearn 2007 conference.

References

1. R. Atterer, M. Wnuk, and A. Schmidt. Knowing the user's every move: user activity tracking for website usability evaluation and implicit interaction. In Proceedings of 15th International Conference on World Wide Web, pages 203--212, Edinburgh, Scotland, May 23 - 26 2006. ACM Press.
2. S. Bao, G. Xue, X. Wu, Y. Yu, B. Fei, and Z. Su. Optimizing web search using social annotations. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 501--510, New York, NY, USA, 2007. ACM Press.
3. R. Barrett and P. Maglio. Intermediaries: New places for producing and manipulating web content. In H. Ashman and P. Thistewaite, editors, Proc. of Seventh International World Wide Web Conference, volume 30 of Computer Networks and ISDN Systems, pages 509--518. Elsevier Science B. V., 1998.
4. P. Brusilovsky. Social information access: The other side of the social web. In e. a. e. Geffert, V., editor, Proc. of SOFSEM 2008: 4th International Conference on Current Trends in Theory and Practice of Computer Science, volume 4910 of Lecture Notes in Computer Science, pages 5--22. Springer Verlag, 2008.
5. M. Claypool, P. Le, M. Waseda, and B. D. Implicit interest indicators. In Proceedings of ACM Intelligent User Interfaces, pages 33--40, anta Fe, New Mexico, USA, 2001.
6. A. Dieberger. Where did all the people go? a collaborative web space with social navigation information. In Poster at WWW9, The Hague, The Netherlands, May 2000.
7. R. Farzan and P. Brusilovsky. Social navigation support through annotation-based group modeling. In P. B. L. Ardissono and A. Mitrovic, editors, Proceedings of 10th International User Modeling Conference, volume 3538 of Lecture Notes in Artificial Intelligence, pages 463--472, Edinburgh, UK, 2005. Berlin: Springer Verlag.
8. R. Farzan and P. Brusilovsky. Social navigation support in a course recommendation system. In H. A. V. Wade and B. Smyth, editors, Proceedings of 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pages 91--100, Dublin, Ireland, 2006. Springer Verlag.
9. K. Hofmann, C. Reed, and H. Holz. Unobtrusive data collection for web-based social navigation. In J. D. Rrusilovsky and J. Kurhila, editors, Proceedings of Workshop on the Social Navigation and Community-Based Adaptation Technologies at the 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Dublin, Ireland, June 2006.
10. T. Joachims, L. Granka, B. Pan, H. Hembrooke, and G. Gay. Accurately interpreting clickthrough data as implicit feedback. In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, pages 154--161, New York, NY, USA, 2005. ACM Press.
11. P. Kantor, E. Boros, B. Melamed, V. Meñkov, B. Shapira, and D. Neu. Capturing human intelligence in the net. In A. Press, editor, Communications of the ACM, volume 43, pages 112--116, 2000.
12. R. M. Keller, S. R. Wolfe, J. R. Chen, J. L. Rabinowitz, and N. Mathe. A bookmarking service for organizing and sharing urls. In Proceedings of Sixth International World Wide Web Conference, pages 1103--1114, Santa Clara, CA, April 1997.
13. D. Kelly and J. Teevan. Implicit feedback for inferring user preference: A bibliography. In SIGIR Forum, volume 37, pages 18--28. ACM Press, 2003.
14. J. B. Schafer, D. Frankowski, J. Herlocker, and S. Sen. The Adaptive Web: Methods and Strategies of Web Personalization, volume 4321 of Lecture Notes in Computer Science, chapter Collaborative Filtering Recommender Systems. Springer, 2007.
15. B. Smyth, E. Balfe, J. Freyne, P. Briggs, M. Coyle, and O. Boydell. Exploiting query repetition and regularity in an adaptive community-based web search engine. User Modeling and User-Adaptated Interaction, 14(5):383--423, 2004.
16. A. Wexelblat and P. Maes. Footprints: History-rich tools for information foraging. In CHI '99: Proceeding of ACM Conference on Human-Computer Interaction, pages 270--277. ACM Press, 1999.

Index Terms

• Applied computing

  • Document management and text processing

    • Document preparation

      • Multi / mixed media creation

• Human-centered computing

  • Human computer interaction (HCI)

    • Interaction paradigms

      • Hypertext / hypermedia