DocumentCode :
3705625
Title :
uRank: Visual analytics approach for search result exploration
Author :
Cecilia di Sciascio;Vedran Sabol;Eduardo Veas
Author_Institution :
Know-Center GmbH, Graz, Austria
fYear :
2015
Firstpage :
217
Lastpage :
218
Abstract :
uRank is a Web-based tool combining lightweight text analytics and visual methods for topic-wise exploration of document sets. It includes a view summarizing the content of the document set in meaningful terms, a dynamic document ranking view and a detailed view for further inspection of individual documents. Its major strength lies in how it supports users in reorganizing documents on-the-fly as their information interests change. We present a preliminary evaluation showing that uRank helps to reduce cognitive load compared to a traditional list-based representation.
Keywords :
"Visual analytics","Bars","Inspection","Recommender systems","Encoding","Atmospheric measurements"
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
Type :
conf
DOI :
10.1109/VAST.2015.7347686
Filename :
7347686
Link To Document :
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