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