A comparison of generated Wikipedia profiles using social labeling and automatic keyword extraction
|A comparison of generated Wikipedia profiles using social labeling and automatic keyword extraction|
|Author(s)||Russell T., Suh B., Chi E.H.|
|Published in||ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media|
|Keyword(s)||Unknown (Extra: Collaborative systems, Generation method, Keyword extraction, User profile, Wikipedia, Social networking (online), Extraction)|
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A comparison of generated Wikipedia profiles using social labeling and automatic keyword extraction is a 2010 conference paper written in English by Russell T., Suh B., Chi E.H. and published in ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media.
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. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
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