Abstract
Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. This paper proposes a personalization method for tourist Point of Interest (POI) Recommendation.
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References
Holm, L.A.: IFLA Model for Bibliographic Records: ELAG OO Edition 2. In: EALG 1999-Managing Multimedia Collection-Bled, Slovenia (1999)
Seo, Y.S., et al.: e-Learning Standardization Roadmap. In: KERIS (2003)
Zeng, M.L.: Metadata Element for object Description and Representation: A case Report from a Digitized Historical Fashion Project. Journal of the American society for Information Science 50(12), 1193–1208 (1999)
Claypool, M., Gokhale, A., Miranda, T., Murnikov, P., Netes, D., Sartin, M.: Combining Content-Based and collaborative Filters in an Online Newspaper. In: Proceedings of the ACM SIGIR Workshop on Recommender Systems (1999)
Pazzani, M.: A Framework for Collaborative, Content-based and Demographic Filtering. Artificial Intelligence Review, 393–408 (1999)
Kim, H.I., Kim, J.T.: Data Blurring Method for Solving Sparseness Problem in Collaborative Filtering. The Korea Information Science Society 32(6), 542–553 (2005)
Ko, S.J., Lee, J.H.: Feature Selection using Association Word mining for Classification. In: Mayr, H.C., Lazanský, J., Quirchmayr, G., Vogel, P. (eds.) DEXA 2001. LNCS, vol. 2113, pp. 211–220. Springer, Heidelberg (2001)
Ko, S.J.: Extracting Typical Group Preferences through User-Item Optimization and User Profiles in Collaborative Filtering System. The Korea Information Science Society 32(7), 581–591 (2005)
Nakayama, L., Almeida, V., Vicari, R.: A Personalized Information Retrieval Service for an Educational Environment. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 842–844. Springer, Heidelberg (2004)
Bowen, D.: Research on tourist satisfaction and dissatisfaction. Proceedings of the Journal of Vacation Marketing 7(1), 31–40 (2001)
Breese, J., Heckerman, D., Kadie, C.: Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In: Proceedings of the Fourteenth Annual conference on Uncertainty in Artificial Intelligence, pp. 43–52 (1998)
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Kang, Ey., Kim, H., Cho, J. (2006). Personalization Method for Tourist Point of Interest (POI) Recommendation. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_48
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DOI: https://doi.org/10.1007/11892960_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
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