This paper explores the use of tags in 1) K-means clustering in an extended vector space model that includes tags as well as page text and 2) a novel generative ...
ABSTRACT. Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this.
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated ...
Tags encode semantically meaningful labels. ○ Tags cover much of the web's best content. ○ How can we use tags to provide high-level insight? Page 9. Web page ...
▫ How do we model words and tags of a document ? ▫ How do we modify clustering methods in order to include tagging data ? ▫ How can we evaluate the ...
1. Create groups or clusters from a set of documents (words & tags) using candidate clustering algorithms. 2. Derive ...
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags ...
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Clustering the tagged web ; Proceedings of the Second International Conference on Web Search and Web Data Mining, WSDM 2009, Barcelona, Spain, February 9-11, ...
The social tagging activities by users form a tripartite network, which is composed of three types of nodes: webpages, tags, and users. The underlying structure ...
Experiments show the clustering results of tagged resources using STAC is significantly better than using other traditional metrics such as the Euclidean ...