Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
Algorithms for estimating relative importance in networks
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Seeing things in the clouds: the effect of visual features on tag cloud selections
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
On the selection of tags for tag clouds
Proceedings of the fourth ACM international conference on Web search and data mining
Methodologies for improved tag cloud generation with clustering
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Graph based techniques for tag cloud generation
Proceedings of the 24th ACM Conference on Hypertext and Social Media
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In this paper we study tag cloud generation for retrieved results of multiple keyword queries. It is motivated by many real world scenarios such as personalization tasks, surveillance systems and information retrieval tasks defined with multiple keywords. We adjust the state-of-the-art tag cloud generation techniques for multiple keywords query results. Consequently, we conduct the extensive evaluation on top of three distinct collaborative tagging systems. The graph-based methods perform significantly better for the Movielens and Bibsonomy datasets. Tag cloud generation based on maximal coverage is more suitable for the Delicious dataset because of the different statistical properties of the dataset.