2011 |
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1. | ![]() | Burkhardt, Dirk; Breyer, Matthias; Nazemi, Kawa; Kuijper, Arjan Search Intention Analysis for User-Centered Adaptive Visualizations Inproceedings Stephanidis, Constantine (Ed.): Universal Access in Human-Computer Interaction. Design for All and eInclusion, pp. 317–326, Springer, Berlin, Heidelberg, Germany, 2011, ISBN: 978-3-642-21672-5. Abstract | Links | BibTeX | Tags: Adaptive Visualization, Search Result Visualization, Semantic Visualization, Semantic Web, User Intention Analysis, User-Centered Interaction @inproceedings{10.1007/978-3-642-21672-5_35, title = {Search Intention Analysis for User-Centered Adaptive Visualizations}, author = {Dirk Burkhardt and Matthias Breyer and Kawa Nazemi and Arjan Kuijper}, editor = {Constantine Stephanidis}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2011hcii-ii.pdf, Paper as PDF http://2011.hci.international/, Conference Site}, doi = {10.1007/978-3-642-21672-5_35}, isbn = {978-3-642-21672-5}, year = {2011}, date = {2011-07-09}, booktitle = {Universal Access in Human-Computer Interaction. Design for All and eInclusion}, volume = {6765}, pages = {317--326}, publisher = {Springer}, address = {Berlin, Heidelberg, Germany}, series = {Lecture Notes in Computer Science, vol 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 Visualization, Search Result Visualization, Semantic Visualization, Semantic Web, User Intention Analysis, User-Centered Interaction}, pubstate = {published}, tppubtype = {inproceedings} } 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. |
2011 |
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1. | ![]() | Search Intention Analysis for User-Centered Adaptive Visualizations Inproceedings Stephanidis, Constantine (Ed.): Universal Access in Human-Computer Interaction. Design for All and eInclusion, pp. 317–326, Springer, Berlin, Heidelberg, Germany, 2011, ISBN: 978-3-642-21672-5. |