Abstract
This paper presents the personalized recommendation system for e-tourism by using statistic technique base on Bayes Theorem to analyze user behaviors and recommend trips to specific users. The system is evaluated by using Recall, Precision and F-measure. Results demonstrate that it is possible to develop Personalization Recommendation System. Past and recent information of customer’s behaviors are used for recommending products and services best fit to relevant customers in the e-Tourism.
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S.H. Choi, S. Kang, and Y.J. Jeon, Personalized recommendation system based on product specification values, Expert Systems with Applications. Volume 31, Number 3, pp.607–616, (2004).
M. Balabanovic and Y. Shoham, Fab: Content-Based, Collaborative Recommendation, Communications of the ACM. Volume 40, pp.66–72, (1997).
M. Pazzani, J. Muramatsu, and D. Billsus, Syskill Webert: Identifying Interesting Web Sites, in Proc. of The National Conference on Artificial Intelligence (Portland, 1996), pp.54–61.
Q. Li and B.M. Kim, Clustering Approach for Hybrid Recommender System, in Proc. of The IEEE /W1C International conference on Web Intelligent (WI’03, 2003), pp.33–39.
D. Goldberg, D. Nichols, B.M. Oki, and D. Terry, Using Collaborative Filtering to Weave an Information Tapestry, Communications of the ACM. Volume 35, Number 12, pp.61–70, (1992).
Y.Y. Shih and D.R. Liu, Hybrid recommendation approaches: Collaborative filtering via valuable content information, in Proc. of The 38 th Hawaii International Conference on System Science, Track 8 (2005), pp.217–.
T. Joachims, D. Freitag, and T.M. Mitchell, WebWatcher: A tour guide for the World Wide Web, in Proc. of The International Joint Conference on Artificial Intelligence (1997), pp.770–775.
A. Srivihok and P. Sukonmanee, Intelligent Agent for e-Tourism: Personalization Travel, in Proc. of The 14 th International World Wide Web Conference Workshop (WWW) (Chiba: Keio University, Japan, 2005), pp. 10–14.
W.P. Lee, C.H. Liu, and C.C. Lu, Intelligence agent-based systems for personalized recommendation in internet commerce, Expert Systems with Applications. Volume 22, Number 4, pp.275–284, (2002).
D. Godoy, S. Schiaffino, and A. Amandi, Interface agents personalizing Web-based tasks, Cognitive Systems Research. Volume 5, Number 3, pp.207–222, (2004).
P. Srisuwan and A. Srivihok, Using Bayesian Learning for Personalization Recommendation System for e —Tourism, in Proc. of The 4 th International Joint Conference on Computer Science and Software Engineering (JCSSE) (Thailand, 2007), pp.515–521.
A.D. Martin and K.M. Quinn, Bayesian Learning about Ideal Points of U.S. Supreme Court Justices, 1953–1999, Center for Statistics and the Social Sciences University of Washington (2001).
T-H. Lin, Bayesian Learning in Dual-Wing Harmoniums Applied to Information Retrieval and Genomics, International Journal of Computer Science & Applications Technomathematics Research Foundation. Volume 3, Number 3, pp. 12–26, (2006).
Y. Tsuruoka and T. Chikayama, Estimating Reliability of Contextual Evidences in Decision-List Classifiers under Bayesian Learning, in Proc. of The 6 th NLPRS (2001), pp.701–707.
T.M. Mitchell, Machine Learning (McGraw-Hill: New York, 1997).
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Srisuwan, P., Srivihok, A. (2008). Personalized Trip Information for E-Tourism Recommendation System Based on Bayes Theorem. In: Xu, L.D., Tjoa, A.M., Chaudhry, S.S. (eds) Research and Practical Issues of Enterprise Information Systems II. IFIP International Federation for Information Processing, vol 255. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-76312-5_53
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DOI: https://doi.org/10.1007/978-0-387-76312-5_53
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