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2010

A Comparison of Generated Wikipedia Profiles Using Social Labeling and Automatic Keyword Extraction

11 years 2 months ago
A Comparison of Generated Wikipedia Profiles Using Social Labeling and Automatic Keyword Extraction
In many collaborative systems, researchers are interested in creating representative user profiles. In this paper, we are particularly interested in using 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. Automatic keyword extraction is a technique that selects the most salient words to represent a user's contribution. We apply each of these two profile generation methods to highly active Wikipedia editors and their contributions, and compare the results. We found that profiles generated through social labeling matches the profiles generated via automatic keyword extraction, and vice versa. The results suggest that user profiles generated from one method can be used as a seed or bootstrapping proxy for the other method.
Terrell Russell, Bongwon Suh, Ed H. Chi
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where ICWSM
Authors Terrell Russell, Bongwon Suh, Ed H. Chi
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