Do thumbnail previews help users make better relevance decisions about web search results?
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
How users assess web pages for information seeking
Journal of the American Society for Information Science and Technology
Identifying Document Topics Using the Wikipedia Category Network
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Exploring social annotations for web document classification
Proceedings of the 2008 ACM symposium on Applied computing
TIMELINES: Tag clouds and the case for vernacular visualization
interactions - Changing energy use through design
Seeing things in the clouds: the effect of visual features on tag cloud selections
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Introduction to Information Retrieval
Introduction to Information Retrieval
Content Code Blurring: A New Approach to Content Extraction
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
The effect of activity on relevance and granularity for navigation
COSIT'11 Proceedings of the 10th international conference on Spatial information theory
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Information Retrieval systems spend a great effort on determining the significant terms in a document. When, instead, a user is looking at a document he cannot benefit from such information. He has to read the text to understand which words are important. In this paper we take a look at the idea of enhancing the perception of web documents with visualisation techniques borrowed from the tag clouds of Web 2.0. Highlighting the important words in a document by using a larger font size allows to get a quick impression of the relevant concepts in a text. As this process does not depend on a user query it can also be used for explorative search. A user study showed, that already simple TF-IDF values used as notion of word importance helped the users to decide quicker, whether or not a document is relevant to a topic.