Tag cloud is one of the navigation aids for exploring documents. Tag cloud also link documents through the user defined terms. We explore various graph based techniques to improve the tag cloud generation. Moreover, we introduce relevance measures based on underlying data such as ratings or citation counts for improved measurement of relevance of tag clouds. We show, that on the given data sets, our approach outperforms the state of the art baseline methods with respect to such relevance by 41 % on Movielens dataset and by 11 % on Bibsonomy data set.
Proceedings of the 24th Acm Conference on Hypertext and Social Media, 2013, p. 148-157
Tag cloud; Graph Theory
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24th ACM Conference on Hypertext and Social MediaACM Conference on Hypertext and Hypermedia, 2013