Abstract
The number of Foreign Independent Tour (FIT) is increasing in the world. This research aims to develop a personal adaptive tourism recommendation system (PATRS) for FIT. This paper describes the concept of PATRS and related researches. In order to develop the PATRS, an easy feature extraction method from a tourism website is required. The classification of photos of tourism spots is an important technology to realize the feature extraction from numerous information in the website. This paper proposes a classification method of photos in a major tourism website by color analysis. From the results on the experiments, we confirmed that the photos in a tourism website can be classified into four classes by the proposed method.
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Japanese Travel Trade News [Official]. https://www.travelvoice.jp/english/jtb-report-2017-shows-fit-outnumbers-package-tours-in-the-overseas-travel-market-of-japan/
TripAdvisor. https://www.tripadvisor.jp/
Yabe, N., Kurata, Y.: An analysis of the behavior of inbound tourists in the Tokyo Metropolitan Area from the data of IC transit cards. Theor. Appl. GIS 21(1), 35–46 (2013). (in Japanese)
Maeda, Y., Goto, F., Masui, H., Masui, F., Kamemaru, S., Suzuki, M.: A note on modeling for changes of tourist purposes. Biomedical Fuzzy Syst. Assoc 16(2), 29–36 (2014). (in Japanese)
Sasaki, J., Takahashi, S., Shuang, L., Komatsu, I., Yamada, K., Takagi, M.: Finding target users interested in regional areas using online advertising and social network services. In: Fujita, H., Guizzi, G. (eds.) SoMeT 2015. CCIS, vol. 532, pp. 203–215. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22689-7_15
Kasahara, H., Tamura, K., Iiyama, M., Mukunoki, M., Minoh, M.: Tourist behavior model construction based on tracks of tourists using regional environmental factors and application. J. Inf. Process. Soc. Japan 57(5), 1411–1420 (2016). (in Japanese)
Li, Y., Clerk, H., Huang, C., Duan, L.: The concept of smart tourism in the context of tourism information services. Tourism Manag. 58(2017), 293–300 (2017)
De Úñez, X.M.G., Núñez-Valdez, E.R., Espada, J.P., Crespo, R.G., Garacía-Díaza, V.: Proposal for sentiment analysis on Twitter for tourism-based applications. In: New Trends in Intelligent Software Methodologies, Tools and Techniques, (SOMET 2018), pp. 713–721. IOS Press (2018)
Cano, E., Varga, A., Ciravegna, F.: Volatile classification of point of interests based on social activity streams. Research Gate (2011). https://vdocuments.mx/
Kurata, Y., Ai, H., Sanada, F.: Creation of innovative tourist maps based on the user-posted data of a photo-sharing site. Int. J. Tourism Sci. 8, 151–154 (2015)
Li, S., Takahashi, S., Yamada, K., Takagi, M., Sasaki, J.: Analysis of SNS photo data taken by foreign tourists to Japan and a proposed adaptive tourism recommendation system. In: Progress in Informatics and Computing (PIC2017), pp. 323–327. IEEE Press, December 2017
Watanabe, S., Yoshino, T.: Tourist information visualization system for improvement discovery based on the similarity among tourist spots. In: DICOMO2016 Symposium, pp. 1357–1362, July 2016. (in Japanese)
Sato, N., Nanba, E., Ishino, A., Takezawa, T.: Construction of charm discovery system by comparison of similar tourist spots. In: Conference of Tourism Information of Japan (2016). (in Japanese)
Ochiai, K., Yamada, W., Fukazawa, Y., Kikuchi, H., Matsuo, Y.: POI official account classification method using twitter posts and profile information. J. Inf. Process. Soc. Jpn. (Database) 9(2), 11–12 (2016). (in Japanese)
Nakamura, M., Ototake, H., Yoshimura, K.: Classification method of sightseeing spots using Word2Vec. In: The 69th Conference of Kyushu branch of the institute of Electrical and Information Engineers, 07-2A-08, p. 290 (2016). (in Japanese)
Matsuda, Y., Nakamura, M., Kang, D., Miyagi, H.: A fuzzy optimal routing problem for sightseeing. IEE J. Trans. EIS 125(8), 1350–1357 (2005). (in Japanese)
Yamashita, A., Kawamura, H., Ohuchi, A.: Development of user adaptive tourism website with weblog information gathering. In: 22nd Fuzzy System Symposium, vol. 8C2-4, pp. 827–830, September 2006. (in Japanese)
Togashi, J., Sugimoto, T.: An interactive sightseeing spot recommendation system using wikipedia and google maps. In: IPSJ General Conference, no. 71, pp. 321–322 (2009)
Cao, L., Luo, J., Gallagher, A., Jin, X., Han, J., Hauang, T.S.: A worldwide tourism recommendation system based on geotagged web photos. In: 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) (2010)
Tarui, Y.: Recommendation system of tourist site using collaborative filtering method and contents analysis method. Jobu Univ. Bull. 36, 1–14 (2011). (in Japanese)
Moreno, A., Valls, A., Isern, D., Marin, L., Borràs, J.: Ontology-based personalized recommendation of Tourism and Leisure Activities. Eng. Appl. Artif. Intell. (Elsevier) 26(1), 633–651 (2013)
Okuzono, M., Hokota, M., Hirano, H., Masuko, S., Hoshino, J.: Recommendation system of sightseeing area for groups. IPSJ SIG Technical report, vol. 2015-HCI-162, no. 19 (2015)
Mihara, Y., et al.: Visit recommendation systems for Smartphones without privacy overhead. J. Inf. Process. Soc. Jpn. 7(2), 87–96 (2017). (in Japanese)
Kinoshita, T., Nagata, M., Murata, Y., Shiata, N., Yasumoto, K., Ito, M.: Personal navigation system to assist sightseeing across multiple days. J. Inf. Process. Soc. Jpn. 47(12), 3179–3187 (2006). (in Japanese)
Kinoshita, Y., Yokokishizawa, H.: A proposal of a tour route planning support system using Kansei evaluation and multi-objective gas. In: 24th Fuzzy System Symposium, vol. FC2-1, pp. 864–869(2008). (in Japanese)
Kurata, Y.: Walking plan around a city for you - development of a dialogue base travel plan creation support tool, Institute of Systems, Control and Information Engineers, vol. 75, no. 8, pp. 348–353 (2013). (in Japanese)
Takahashi, S., Li, S., Yamada, K., Takagi, M., Sasaki, J.: Case Study of tourism course recommendation system using data from social network services. In: New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT2017), pp. 339–342. IOS Press, September 2017
Li, S., Komatsu, I., Yamada, K., Takagi, M., Sasaki, J.: Personal tour planning system (PTPS) for use in urban and rural areas. In: New Trends in Intelligent Software Methodologies, Tools and Techniques (SOMET 2018), pp. 259–269. IOS Press (2018)
Irotoridori. https://ironodata.info/extraction/irotoridori.php
Acknowledgements
We would like to thank I-O DATA Foundation and the financing of project TIN2016-75850-R from the FEDER Funds for support of this research.
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Sasaki, J., Li, S., Herrera-Viedma, E. (2019). A Classification Method of Photos in a Tourism Website by Color Analysis. In: Wotawa, F., Friedrich, G., Pill, I., Koitz-Hristov, R., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2019. Lecture Notes in Computer Science(), vol 11606. Springer, Cham. https://doi.org/10.1007/978-3-030-22999-3_24
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