@conference{C35-P-22190,

title = {Search Intention Analysis for User-Centered Adaptive Visualizations},

author = {Dirk Burkhardt and Matthias Breyer and Kawa Nazemi and Arjan Kuijper},

editor = {C Stephanidis},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21672-5_35, Springer link},

doi = {10.1007/978-3-642-21672-5_35},

isbn = {978-3-642-21671-8},

year  = {2011},

date = {2011-01-01},

booktitle = {Universal Access in Human-Computer Interaction. Design for All and eInclusion. UAHCI 2011.},

pages = {317-326},

publisher = {Springer, Berlin, Heidelberg},

series = {LNCS 6765},

abstract = {Searching information on web turned to a matter of course in the last years. The visualization and filtering of the results of such search queries plays a key-role in different disciplines and is still today under research. In this paper a new approach for classifying the search intention of users' is presented. The approach uses existing and easy parameters for a differentiation between explorative and targeted search. The results of the classification are used for a differentiated presentation based on graphical visualization techniques.},

keywords = {Adaptive Information Visualization, Search result visualization, Semantic visualization, Semantic web, User behavior, User centered modeling},

pubstate = {published},

tppubtype = {conference}

}