A comparison of generated Wikipedia profiles using social labeling and automatic keyword extraction
Details
Event
ICWSM 2010
4th Int'l AAAI Conference on Weblogs and Social Media May 23-26, 2010, George Washington University, Washington, DC
Speakers
Suh, Bongwon
Chi, Ed H.
Event
A comparison of generated Wikipedia profiles using social labeling and automatic keyword extraction
In many collaborative systems, researchers are interested in creating user profiles. There are many ways to create user profiles. In this paper, we are particularly interested in social labeling and automatic keyword extraction techniques for generating user profiles. Social labeling is a process in which users manually tag other users with keywords, which has become popular with the rise of Web2.0 systems and user generated contents. Automatic keyword extraction technique selects the most salient words to represent the user contribution. In this paper, we apply these two profile generation methods to highly active Wikipedia editors and their contributions, and compare the results. In our comparison, we found that profiles generated through social labeling matches the profiles extracted using automatic keyword extraction applied to Wikipedia revisions. The result suggests that user profiles generated from one method can be used as a seed for the other method.
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