Personalized Social Systems for Local Communities
Contents
About the project
The project explored the use of personalization and mobile computing to increase user engagement in location-bound social systems. The project was originally funded by a Research Award from Google to Peter Brusilovsky, however it continued for many years following the original round of funding. In the course of the project we developed, extended, and explored several location-bounded systems such as Comet, Eventur, and CourseAgent. These systems were actively used for many years in local Pittsburgh community. We developed a range of new recommendation technologies for these systems and explored new approaches to increase user engagement, which is the source of knowledge in local communities.
Systems
Conference Navigator 3 is a social conference support system. It offers an enhanced version of traditional tools: conference schedule and attendee list. It combines social tagging and social navigation features, but also use accumulated data from existing long-term communities (e.g. Facebook, CiteULike, Mendeley) to help users to find the relevant sessions to attend and to determine the appropriate people to make contact with during the conference. more
Team
PI: Associate Professor Peter Brusilovsky.
co-PI: Assistant Professor Jung Sun Oh.
- Chirayu Wongchokprasitti: Research on recommendations, main developer of the two first version of CN and developer of the current version.
- Sherry Sahebi: Research on recommendations, and Database developer.
- Shaopeng Zhang: Developer and designer of the first version of Web interface.
- Yijin Wu: Developer of Android application.
- Ranjani Rajagopal: Developer and designer of Android and iPhone application.
- Denis Parra: Researcher on recommendations and adaptive visualization, developer of the second versuion of Web interface
- Steve Van Tuyl: Researcher on social networks.
- Claudia Lopez: Researcher on incentive-based design.
- Xidao Wen: Researcher on Social technologies and log analysis
Publications
Wongchokprasitti, C., Brusilovsky, P., and Parra, D. (2010) Conference Navigator 2.0: Community-Based Recommendation for Academic Conferences. In: Proceedings of Workshop on Social Recommender Systems at the International Conference on Intelligent User Interfaces (IUI 2010), Hong Kong, China, February 7, 2010 also available at [1].
Brusilovsky, P., Parra, D., Sahebi, S., and Wongchokprasitti, C. (2010) Collaborative Information Finding in Smaller Communities: The Case of Research Talks. In: Proceedings of 6th International ICST Conference on Collaborative Computing: Networking, Applications and Worksharing, Chicago, Illinois, USA October 9-12, 2010.
Verbert, K., Parra-Santander, D., Brusilovsky, P., and Duval, E. (2013) Visualizing Recommendations to Support Exploration, Transparency and Controllability. In: Proceedings of the 2013 International Conference on Intelligent User Interfaces, IUI '2013, Santa Monica, USA, March 19–22, 2013, ACM Press, pp. 351-362, also available at http://dl.acm.org/citation.cfm?id=2449442.
Verbert, K., Parra, D., and Brusilovsky, P. (2014) The Effect of Different Set-based Visualizations on User Exploration of Recommendations In: Proceedings of Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'14) at 2014 ACM Conference on Recommender Systems (RecSys'14), Silicon Valley, USA, October 6, 2014, ACM Press, pp. 37-44, also available at http://ceur-ws.org/Vol-1253/paper7.pdf.
Parra-Santander, D., Brusilovsky, P., and Trattner, C. (2014) See What You Want to See: Visual User-Driven Approach for Hybrid Recommendation. In: Proceedings of Proceedings of the 19th International Conference on Intelligent User Interfaces, Haifa, Israel, ACM, pp. 235-240, also available at http://dl.acm.org/citation.cfm?id=2557542.
Lee, D. and Brusilovsky, P. (2014) Recommending Talks at Research Conferences Using Users’ Social Networks. International Journal of Cooperative Information Systems 23 (2).
Parra, D. and Brusilovsky, P. (2015) User-controllable personalization: A case study with SetFusion. International Journal of Human-Computer Studies.
