Abstract
The use of a collaborative recommendation system applying fuzzy linguistic techniques is proposed in this paper. This system is included in a mobile application that manages information and the enrollment process in the activities of the Environmental Educational Program of the City of Madrid. This tool informs the user of all activities: workshops, routes, exhibitions, gardening, etc., that are made in the Environmental Education Centres of the City of Madrid. Because of the extra information that the user can receive is essential to have a system to provide the activities that may be most interesting for the user. These activities are selected based on the user’s preferences profile and the register with the ratings of the activities previously performed by other users, especially, the evaluations of those with a similar profile.
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References
Palopoli L, Rosaci D, Sarné GML (2013) A Multi-tiered recommender system architecture for supporting E-commerce. Intell Distrib Comput VI Stud Comput Intell 446:71–81
Rostami B, Cremonesi P, Malucelli F (2013) A graph optimization approach to item-based collaborative filtering. Recent Adv Comput Optim 470:15–30
Martínez L, Pérez LG, Barranco M (2007) A multigranular linguistic content-based recommendation model. Int J Intell Syst 22:419–434
Pazzani MJ (1999) A framework for collaborative, content-based and demographic filtering. Artif Intell Rev 13(5–6):393–408
Burke RD (2000) Knowledge-based recommender systems. Encycl Libr Inf Sci 69(32):175–186
Burke RD (2002) Hybrid recommender systems: survey and experiments. User Model User-Adap Interact 12(4):331–370
Ricci F, Nguyen QN (2007) Acquiring and revising preferences in a critique-based mobile recommender system. Int J Intell Syst 22(3):22–29
Setten M, Pokraev S, Koolwaaij J (2004) Context-aware recommendations in the mobile tourist application COMPASS. Adap Hypermed Adap Web-Based Syst. Lect Notes Comput Sci 3137:235–244
Adomavicius G, Tuzhilin A (2011) Context-aware recommender systems. In: Recommender systems handbook. Springer, pp 217–253
Styliaras G, Koukopoulos D (2012) Educational scenarios with Smartphones in cultural heritage sites and environments. J Educ Multimed Hypermed 21(3):285–315
Kenteris M, Gavalas D, Economou D (2009) An innovative mobile electronic tourist guide application. J Pers Ubiquit Comput Arch 13(2):103–118
Cultura unam: http://www.cultura.unam.mx/
BCN cultural: http://barcelonacultura.bcn.cat/es
Bobadilla J, Ortega F, Hernando A, Bernal J (2012) A collaborative filtering approach to mitigate the new user cold start problem. Knowl-Based Syst 26:225–238
Yager RR (2003) Fuzzy logic methods in recommender systems. Int J Fuzzy Sets Syst 136(2):133–149
Delgado M, Herrera F, Herrera-Viedma E, Martín-Bautista MJ, Vila MA (2001) Combining linguistic information in a distributed intelligent agent model for information gathering on the internet. In: Wang PP (eds) Computing with words. Wiley, New York
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning—I. Inf Ser 8:199–249
Seltzer L (2012) Android “Clear Leader” in Smartphone race Says report. Byte. http://www.informationweek.com/byte/personal-tech/smart-phones/android-clear-leader-in-smartphone-race/240143823
Gargenta M (2011) Learning Android, 1st edn. O’Reilly Media, Inc, Sebastopol
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Pardines, I., López, V., Sanmartín, A., de Toledo, M.O., Fernández, C. (2014). Collaborative Recommendation System for Environmental Activities Management Mobile Application. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_31
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DOI: https://doi.org/10.1007/978-3-642-54927-4_31
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