Exploring the Potential of User Modeling Based on Mind Maps

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BEEL, Jöran, Stefan LANGER, Georgia KAPITSAKI, Corinna BREITINGER, Bela GIPP, 2015. Exploring the Potential of User Modeling Based on Mind Maps. UMAP 2015 : 23rd International Conference on User Modeling, Adaptation, and Personalization. Dublin, Ireland, 29. Jun 2015 - 3. Jul 2015. In: RICCI, Francesca, ed. and others. User Modeling, Adaptation and Personalization : 23rd International Conference, UMAP 2015, Dublin, Ireland, June 29 - July 3, 2015. Proceedings. UMAP 2015 : 23rd International Conference on User Modeling, Adaptation, and Personalization. Dublin, Ireland, 29. Jun 2015 - 3. Jul 2015. Cham:Springer, pp. 3-17. ISSN 0302-9743. ISBN 978-3-319-20266-2

@inproceedings{Beel2015Explo-31370, title={Exploring the Potential of User Modeling Based on Mind Maps}, year={2015}, doi={10.1007/978-3-319-20267-9_1}, number={9146}, isbn={978-3-319-20266-2}, issn={0302-9743}, address={Cham}, publisher={Springer}, series={Lecture Notes in Computer Science}, booktitle={User Modeling, Adaptation and Personalization : 23rd International Conference, UMAP 2015, Dublin, Ireland, June 29 - July 3, 2015. Proceedings}, pages={3--17}, editor={Ricci, Francesca}, author={Beel, Jöran and Langer, Stefan and Kapitsaki, Georgia and Breitinger, Corinna and Gipp, Bela} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/31370"> <dc:creator>Beel, Jöran</dc:creator> <dc:contributor>Langer, Stefan</dc:contributor> <dc:contributor>Kapitsaki, Georgia</dc:contributor> <dc:creator>Breitinger, Corinna</dc:creator> <dc:creator>Kapitsaki, Georgia</dc:creator> <dc:contributor>Beel, Jöran</dc:contributor> <dcterms:abstract xml:lang="eng">Mind maps have not received much attention in the user modeling and recommender system community, although mind maps contain rich information that could be valuable for user-modeling and recommender systems. In this paper, we explored the effectiveness of standard user-modeling approaches applied to mind maps. Additionally, we develop novel user modeling approaches that consider the unique characteristics of mind maps. The approaches are applied and evaluated using our mind mapping and reference-management software Docear. Docear displayed 430,893 research paper recommendations, based on 4,700 user mind maps, from March 2013 to August 2014. The evaluation shows that standard user modeling approaches are reasonably effective when applied to mind maps, with click-through rates (CTR) between 1.16% and 3.92%. However, when adjusting user modeling to the unique characteristics of mind maps, a higher CTR of 7.20% could be achieved. A user study confirmed the high effectiveness of the mind map specific approach with an average rating of 3.23 (out of 5), compared to a rating of 2.53 for the best baseline. Our research shows that mind map-specific user modeling has a high potential, and we hope that our results initiate a discussion that encourages researchers to pursue research in this field and developers to integrate recommender systems into their mind mapping tools.</dcterms:abstract> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150305140228786-3747162-5"/> <dc:language>eng</dc:language> <dc:contributor>Breitinger, Corinna</dc:contributor> <dc:creator>Gipp, Bela</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/31370"/> <dc:contributor>Gipp, Bela</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-07-06T15:01:26Z</dcterms:available> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-07-06T15:01:26Z</dc:date> <dcterms:title>Exploring the Potential of User Modeling Based on Mind Maps</dcterms:title> <dc:creator>Langer, Stefan</dc:creator> <dcterms:issued>2015</dcterms:issued> </rdf:Description> </rdf:RDF>

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