A Mobile Ecotourism Recommendations System Using Cars-Context Aware Approaches
Abstract
The requirements to fullfill mobility of ecotourism activities have been urgent to support each traveler with the mobile gadget application. The objective of this research is to develop an application of recommendation system based on online user personalization. This application provided features to recommendation of ecotourism based on profile user and current location, then supplied information about distance and facilities in each ecotourism place. The main of computation worked online which was based on approach called as CARS (Context Aware Recommender Systems) algorithm. The result showed that the application framework succeeded to give appropriate recommendations and explaination on a mobile platform both in the form of profile based spatial data and user preferences.
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. Ricci F, Rokach L, Shapira B, Kantor P B. Recommender Systems Handbook. New York (US): Springer. 2011.
. McGinty L, Smiyth B. Adaptive selection: analysis of critiquing and preference based feed back in conversational recommender systems. International Journal of Electronic Comerce. 2006; II(2): 35-57.
. Chen A Y, Mcleod D. Collaborative Filtering for information Recommendation System. Encylopedia of E-commerce, E-government, and Mobile Commerce. 2006: 118-183.
. Sharda N. Tourism informatics: visual travel recommender systems social communities and Pengguna interface design. Information Science Reference. New York (US): Hershey. 2010
. Julien C, Hammer J, O’Brien W.J. A Dynamic Programming Framework for Pervasive Computing Environments. In Proc.Of the workshop on Building Software for Pervasive Computing in conjuction with OOPSLA’ 05, San Diego, CA. 2005.
. Adomavicius G dan Tuzhilin A. Context Aware Recommender Systems, Handbook Recommendation Systems. Berlin (DE): springer. 2011.
. Avenzora R. Ekotourisme- teori dan praktek. Nias (ID): BRR NAD. 2008.
. BPS. 2011. Statistik Telekomunikas Tahun 2011. http://www.bps.go.id/ hasil_publikasi/ stat_telkom_2011/index3.php?pub=Statistik%20Telekomunikasi%20Tahun%202011.
. Burke, R. Hybrid Web Recommendation System. In: the Adaptive Web, pp.377-408. Berlin/ Heidelberg (DE): springer. 2007.
. Danardatu A H, Pengenalan Customer Relationship. Yogyakarta (ID): Andi. 2007.
. Kahng M, Lee S, Lee S. Ranking In Context Aware Recommender Systems. ACM 978-1-4503-0637-9/11/03. 2001.
. Rajabidfard A. Spatial Data Infrastructures: Concept, SDI Hierarchy and Future Directions. Melbourne, Victoria: Spatial Data Research Group, Department of Geomatics, The University of Melbourne, 2000a. Spatial Data Infrastructures: An Initiative To Facilitate Spatial Data Sharing. Melbourne, Victoria: Spatial Data Research Group, Department of Geomatics, The University of Melbourne (AU), 2000b.
. Husain W dan Yih L. Dih. A framework of a personalized location based traveler recommendation system in mobile Application. International Journal of Multimedia and Ubiquitous Engineering. 2012; 7(3): 11-18.
. Satzinger, John W, Robert BJ, Stephen D. Fourth Edition-System Analysis and Design in A Changing World. Canada (US): THOMSON. 2007
. Singh S, Mobasher B. Contextual Recommendation.Springer-Verlag Berlin (DE) Heidelberg. B. Berendt et al. (Eds.): WebMine 2006, LNAI 4737, pp. 142–160, 2007.
. Sommerville I. Software engineering - ninth edition. Boston (US): Addison Wasley-Pearson. 2011.
. Sunarminto T. Pengembangan kapasitas para pihak (Stakeholders) bagi pembangunan ekowisata di kawasan Cibodas, Jawa Barat. Disertasi. Program Pasca Sarjana, Institut Pertanian Bogor. 2012.
DOI: http://doi.org/10.12928/telkomnika.v11i4.1209
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