| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Xu, Z., Fu, Y., Mao, J. & Su, D. | Towards the semantic web: Collaborative tag suggestions | 2006 | Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006 | inproceedings | URL |
| Abstract: Content organization over the Internet went through several
teresting phases of evolution: from structured directories to structured Web search engines and more recently, to tagging a way for aggregating information, a step towards the mantic web vision. Tagging allows ranking and data ganization to directly utilize inputs from end users, enabling chine processing of Web content. Since tags are created by dividual users in a free form, one important problem facing gging is to identify most appropriate tags, while eliminating ise and spam. For this purpose, we define a set of general iteria for a good tagging system. These criteria include high verage of multiple facets to ensure good recall, least effort to duce the cost involved in browsing, and high popularity to sure tag quality. We propose a collaborative tag suggestion gorithm using these criteria to spot high-quality tags. The oposed algorithm employs a goodness measure for tags derived om collective user authorities to combat spam. The goodness asure is iteratively adjusted by a reward-penalty algorithm, ich also incorporates other sources of tags, e.g., content-based to-generated tags. Our experiments based on My Web 2.0 show at the algorithm is effective. |
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BibTeX:
@inproceedings{xu2006tsw,
author = {Xu, Z. and Fu, Y. and Mao, J. and Su, D.},
title = {Towards the semantic web: Collaborative tag suggestions},
booktitle = {Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006},
year = {2006},
url = {http://www.ibiblio.org/www_tagging/2006/13.pdf}
}
|
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