Web Clustering Based On Tag Set Similarity
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| Title | Web Clustering Based On Tag Set Similarity |
| Authors | |
| Abstract | Tagging is a service that allows users to associate a set of freely determined tags with web content. Clustering web documents with tag sets can eliminate the time-consuming preprocess of word stemming. This paper proposes a novel method to compute the similarity between tag sets and use it as the distance measure to cluster web documents into groups. Major steps in this method include computing a tag similarity matrix with set-based vector space model, smoothing the similarity matrix to obtain a set of linearly independent vectors and compute the tag set similarity based on these vectors. The experimental results show that the proposed tag set similarity measures surpasses other common similarity measures not only in the reliable derivation of clustering results, but also in clustering accuracies and efficiencies. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2011-01-01 |
| Source | Journal of Computers Vol 6, No 1 (2011): Special Issue: Research Findings in Computer Science-Technology and Application |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |