Algorithms for clustering data
Algorithms for clustering data
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Investigating the querying and browsing behavior of advanced search engine users
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The folksonomy tag cloud: when is it useful?
Journal of Information Science
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The usage of search engines to obtain necessary information from the WWW has become popular. It is hard for users to make proper queries when they want to retrieve ambiguous information or topics that they are not familiar with. In this paper, we propose a system that helps users to retrieve information by visualizing efficient keywords. The system extracts important terms from search results and plots them on a two-dimensional graph, and the user can look down upon the tendency of search results. The system enables the user to re-rank and re-search search results dynamically by moving terms displayed on the graph. In addition, we attempt to extend the searching area by presenting complementary information related to the query. We verified the usefulness of our method by applying it to a web page search and a digital library.