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Autor
Mathias Mayeul (Université d'Avignon et des Pays de Vaucluse, France), Moussa Assema (Université d'Avignon et des Pays de Vaucluse, France), Torres-Moreno Juan-Manuel (Université d'Avignon et des Pays de Vaucluse, France), Zhou Fen (Université d'Avignon et des Pays de Vaucluse, France), Poli Marie-Sylvie (Université d'Avignon et des Pays de Vaucluse, France), Josselin Didier (Université d'Avignon et des Pays de Vaucluse, France), El-Bèze Marc (Université d'Avignon et des Pays de Vaucluse, France), Linhares Andréa Carneiro (Universidade Federal do Ceará, Brazil), Rigat Françoise (Università degli Studi di Torino, Italy)
Tytuł
Optimisation using Natural Language Processing: Personalized Tour Recommendation for Museums
Źródło
Annals of Computer Science and Information Systems, 2014, vol. 2, s. 439 - 446, rys., tab., bibliogr. 14 poz.
Słowa kluczowe
Muzea, Turystyczne atrakcje, Personalizacja
Museums, Tourist attraction, Personalization
Uwagi
summ.
Abstrakt
This paper proposes a new method to provide personalized tour recommendation for museum visits. It combines an optimization of preference criteria of visitors with an automatic extraction of artwork importance from museum information based on Natural Language Processing using textual energy. This project includes researchers from computer and social sciences. Some results are obtained with numerical experiments. They show that our model clearly improves the satisfaction of the visitor who follows the proposed tour. This work foreshadows some interesting outcomes and applications about on-demand personalized visit of museums in a very near future.(original abstract)
Pełny tekst
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Bibliografia
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  1. Berre D. L., Marquis P., and Roussel S., "Planning personalised museum visits," in ICAPS, D. Borrajo, S. Kambhampati, A. Oddi, and S. Fratini, Eds. AAAI, 2013.
  2. Fernández S., SanJuan E., and Torres-Moreno J. M., "Textual Energy of Associative Memories: performants applications of ENERTEX algorithm in text summarization and topic segmentation," in LNAI 4287, MICAI'07, Mexico, 2007, pp. 861-871.
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  6. Lykourentzou I., Claude X., Naudet Y., Tobias E., Antoniou A., Lepouras G., and Vassilakis C., "Improving museum visitors' quality of experience through intelligent recommendations: A visiting stylebased approach," in Intelligent Environments (Workshops), ser. Ambient Intelligence and Smart Environments, J. A. Botía and D. Charitos, Eds., vol. 17. IOS Press, 2013, pp. 507-518.
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  8. Manning C. D. and Schütze H., Foundations of Statistical Natural Language Processing. Cambridge, Massachusetts: The MIT Press, 1999. [Online]. Available: citeseer.ist.psu.edu/635422.html
  9. Molina A., Torres-Moreno J. -M., SanJuan E., Sierra G., and Rojas-Mora J., "Analysis and Transformation of Textual Energy Distribution," in (MICAI), 2013 12th Mexican International Conference on Artificial Intelligence. IEEE, 2013, p. 203-208.
  10. Porter M., "An algorithm for suffix stripping," Program, vol. 14, no. 3, pp. 130-137, July 1980.
  11. Sakai T. and Spärck-Jones K., "Generic summaries for indexing in Information Retrieval," in ACM Special Interest Group on Information Retrieval (SIGIR'01): 24th International Conference on Research and Development in Information Retrieval. New Orleans, LA, USA: ACM, 2001, pp. 190-198.
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  13. Torres-Moreno J. -M., Résumé automatique de documents : une approche statistique. Hermes-Lavoisier (Paris), 2011.
  14. Yu V. F., Lin S. -W., and Chou S. -Y., "The museum visitor routing problem," Applied Mathematics and Computation, vol. 216, no. 3, pp. 719-729, 2010.
Cytowane przez
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ISSN
2300-5963
Język
eng
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