Institute of Information Science, Academia Sinica

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Seminar

Building Social Recommenders for Delicious and Twitter

  • LecturerDr. Ed H. Chi (Palo Alto Research Center)
    Host: Dr. Ling-Jyh Chen
  • Time2010-12-22 (Wed.) 14:00 – 15:30
  • LocationAuditorium 106 at new IIS Building
Abstract
Abstract: Information search and discovery engines now rely on not just personalized models of interests, but also the social cues created by a large number of people. The attention traces left behind by people are valuable navigational signposts for building social recommenders. We can take advantage of the fact that these traces are being generated in a social context, with networks of friends and friends-of-friends as potential audiences and transceivers. In this talk, I will talk about the use of these cues in two systems: First, in MrTaggy.com, we used the social cues from social bookmarks sites. Social tagging arose out of the need to organize found information that is worth revisiting. The collective behavior of users who tagged contents offer a good basis for recommendation engines. We used information theory and probabilistic graph models to pre-compute recommendations, and evaluated this exploratory browsing system in the lab using end-user learning metrics. Second, in Zerozero88.com, we constructed a tweet recommender for Twitter users. In a modular approach, we explored three separate dimensions in designing such a users, and social voting. We evaluated the system by having twitter users rank the recommendations we gave them over a 3 week period. The results show how recommenders can profitably integrate social cues. (joint work with Jilin Chen and Rowan Nairn) Bio: Ed H. Chi is a Principal Scientist at the (Xerox) Palo Alto Research Center, where he is also the Area Manager for the Augmented Social Cognition Area. He leads the group in understanding how Web2.0 and Social Computing systems help groups of people to remember, think and reason. For example, the group has studied the underlying mechanisms in online social systems such as Wikipedia, Twitter, and social tagging sites. Ed completed his three degrees (B.S., M.S., and Ph.D. summa cum laude) in 6.5 years from University of Minnesota, and has been doing research on user interface software systems since 1993. He has also worked on information visualization, computational molecular biology, ubicomp, and recommendation/search engines. With over 20 patent s and 80 research articles, he has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press. In his spare time, Ed is an avid Taekwondo martial artist, photographer, and snowboarder.