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Authors: Eduardo Veas ; Belgin Mutlu ; Cecilia di Sciascio ; Gerwald Tschinkel and Vedran Sabol

Affiliation: Know Center GmbH, Austria

ISBN: 978-989-758-088-8

Keyword(s): Visual Recommendation, Recommender Systems, Automated Visualization of Recommendations.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Visual Data Analysis and Knowledge Discovery ; Visualization Applications ; Visualization Taxonomies and Models

Abstract: Supporting individuals who lack experience or competence to evaluate an overwhelming amout of information such as from cultural, scientific and educational content makes recommender system invaluable to cope with the information overload problem. However, even recommended information scales up and users still need to consider large number of items. Visualization takes a foreground role, letting the user explore possibly interesting results. It leverages the high bandwidth of the human visual system to convey massive amounts of information. This paper argues the need to automate the creation of visualizations for unstructured data adapting it to the user’s preferences. We describe a prototype solution, taking a radical approach considering both grounded visual perception guidelines and personalized recommendations to suggest the proper visualization.

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Paper citation in several formats:
Veas, E.; Mutlu, B.; di Sciascio, C.; Tschinkel, G. and Sabol, V. (2015). Visual Recommendations for Scientific and Cultural Content.In Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015) ISBN 978-989-758-088-8, pages 256-261. DOI: 10.5220/0005352802560261

@conference{ivapp15,
author={Eduardo Veas. and Belgin Mutlu. and Cecilia di Sciascio. and Gerwald Tschinkel. and Vedran Sabol.},
title={Visual Recommendations for Scientific and Cultural Content},
booktitle={Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)},
year={2015},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005352802560261},
isbn={978-989-758-088-8},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)
TI - Visual Recommendations for Scientific and Cultural Content
SN - 978-989-758-088-8
AU - Veas, E.
AU - Mutlu, B.
AU - di Sciascio, C.
AU - Tschinkel, G.
AU - Sabol, V.
PY - 2015
SP - 256
EP - 261
DO - 10.5220/0005352802560261

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