Publikation:

Utilizing Mind-Maps for Information Retrieval and User Modelling

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2014

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Beel, Joeran
Langer, Stefan
Genzmehr, Marcel

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http://nbn-resolving.de/urn:nbn:de:bsz:352-0-283256
DOI (zitierfähiger Link)
https://doi.org/10.1007/978-3-319-08786-3_26
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Open Access-Veröffentlichung
Open Access Green

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Informatik und Informationswissenschaft: Publikationen
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Beitrag zu einem Konferenzband
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Published

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VANIA DIMITROVA ..., , ed.. User Modeling, Adaptation, and Personalization : 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014 ; Proceedings. Springer: Cham, 2014, pp. 301-313. Lecture Notes in Computer Science. 8538. ISBN 978-3-319-08785-6. Available under: doi: 10.1007/978-3-319-08786-3_26

Zusammenfassung

Mind-maps have been widely neglected by the information retrieval (IR) community. However, there are an estimated two million active mind-map users, who create 5 million mind-maps every year, of which a total of 300,000 is publicly available. We believe this to be a rich source for information retrieval applications, and present eight ideas on how mind-maps could be utilized by them. For instance, mind-maps could be utilized to generate user models for recommender systems or expert search, or to calculate relatedness of web-pages that are linked in mind-maps. We evaluated the feasibility of the eight ideas, based on estimates of the number of available mind-maps, an analysis of the content of mind-maps, and an evaluation of the users’ acceptance of the ideas. We concluded that user modelling is the most promising application with respect to mind-maps. A user modelling prototype – a recommender system for the users of our mind-mapping software Docear – was implemented, and evaluated. Depending on the applied user modelling approaches, the effectiveness, i.e. click-through rate on recommendations, varied between 0.28% and 6.24%. This indicates that mind-map based user modelling is promising, but not trivial, and that further research is required to increase effectiveness.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

mind-maps; content analysis; user modelling; information retrieval

Konferenz

Proceedings of the 22nd Conference on User Modelling, Adaption, and Personalization (UMAP), 2014, 7. Juli 2014 - 11. Juli 2014, Aalborg
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ISO 690BEEL, Joeran, Stefan LANGER, Marcel GENZMEHR, Bela GIPP, 2014. Utilizing Mind-Maps for Information Retrieval and User Modelling. Proceedings of the 22nd Conference on User Modelling, Adaption, and Personalization (UMAP), 2014. Aalborg, 7. Juli 2014 - 11. Juli 2014. In: VANIA DIMITROVA ..., , ed.. User Modeling, Adaptation, and Personalization : 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014 ; Proceedings. Springer: Cham, 2014, pp. 301-313. Lecture Notes in Computer Science. 8538. ISBN 978-3-319-08785-6. Available under: doi: 10.1007/978-3-319-08786-3_26
BibTex
@inproceedings{Beel2014Utili-30294,
  year={2014},
  doi={10.1007/978-3-319-08786-3_26},
  title={Utilizing Mind-Maps for Information Retrieval and User Modelling},
  number={8538},
  isbn={978-3-319-08785-6},
  publisher={Cham},
  address={Springer},
  series={Lecture Notes in Computer Science},
  booktitle={User Modeling, Adaptation, and Personalization : 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014 ; Proceedings},
  pages={301--313},
  editor={Vania Dimitrova ...},
  author={Beel, Joeran and Langer, Stefan and Genzmehr, Marcel and Gipp, Bela}
}
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