Personalized Social Systems for Local Communities

From Adapt2_wiki

Jump to: navigation, search

Contents

[edit] About the project

This NSF-supported project aims to explore personalization and social networking for short-term communities. Using academic research conferences as a test bed, the project explored new methods to leverage information about user interests (available from multiple external resources) and develop techniques to facilitate use of existing social technologies. In the course of the project we implemented and explored Conference Navigator 3 along with a number of recommendation and visualization approaches for it.

[edit] 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

[edit] 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

[edit] 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.

Personal tools