home › event - a comparison study of a social labeling technique and automatic keyword extraction for representing wikipedia contributions

EVENT:

A comparison study of a social labeling technique and automatic keyword extraction for representing wikipedia contributions

ICWSM-10

23 May 2010 - 26 May 2010
Washington, District of Columbia, USA

 

description

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.

 

upcoming events   view all 

Dr. Sylvia Smullin
Sylvia Smullin
23 May 2015 | Palo Alto, CA
Conferences & Talks  

Printed Flexible Electronics Systems
Janos Veres
17 June 2015 | Washington, DC
Conferences & Talks  

Ford's Future: An Automaker and Mobility Company
Dr. Ken Washington
25 June 2015 | George E. Pake Auditorium, PARC
PARC Forum