Abstract
With the rapid growth of the Web, keyword-based searches become extremely ambiguous. To guide users to identify the results of their interest, in this paper, we consider an alternative way for presenting the results of a keyword search. In particular, we propose a framework for organizing the results into groups that contain results with similar content and refer to similar temporal characteristics. Moreover, we provide summaries of results as hints for query refinement. A summary of a result set is expressed as a set of popular keywords in the result set. Finally, we report evaluation results of the effectiveness of our approach.
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These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Gkorgkas, O., Stefanidis, K., Nørvåg, K. (2013). A Framework for Grouping and Summarizing Keyword Search Results. In: Catania, B., Guerrini, G., Pokorný, J. (eds) Advances in Databases and Information Systems. ADBIS 2013. Lecture Notes in Computer Science, vol 8133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40683-6_19
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DOI: https://doi.org/10.1007/978-3-642-40683-6_19
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