Part of the book series:Communications in Computer and Information Science ((CCIS,volume 540))
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Abstract
A travel recommender system can generate suggested itineraries for users based on their preferences. However, current systems are not capable of simultaneously considering trip length, distance, user requirements and preferences when making recommendations, being only equipped to consider one or two of these variables at one time. Also, to generate recommendations the system must process all attractions in the database, requiring more data access and longer processing time. We analyzed the check-in records of users and utilized a new concept of time intervals combined with a multiple days trip algorithm to produce itineraries compatible with the interests and needs of users. By applying R-tree to the travel recommender system, we reduced data access times and computation time. Lastly, we propose a trip evaluator equation that can be used to compare the strengths and weaknesses of each algorithm. Experimental results verified the effectiveness of our method.
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References
Bao, J., Zheng, Y., Mokbel, M.F.: Location-based and preference-aware recommendation using sparse geo-social networking data. In: SIGSPATIAL (2012)
Chiang, H.S., Huang, T.C.: User-adapted travel planning system for personalized schedule recommendation. Information Fusion21, 3–17 (2015)
Hsu, F.M., Lin, Y.T., Ho, T.K.: Design and implementation of an intelligent recommendation system for tourist attractions: The integration of EBM model, Bayesian network and Google Maps. Expert Systems with Applications39, 3257–3264 (2012)
Huang, Y., Bian, L.: A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the Internet. Expert Systems with Applications36, 933–943 (2009)
Lee, C.S., Chang, Y.C., Wang, M.H.: Ontological Recommendation Multi-Agent for Tainan City Travel. Expert Systems with Applications36, 6740–6753 (2009)
Levandoski, J.J., Sarwat, M., Eldawy, A., Mokbel, M.F.: LARS: a location-aware recommender system. In: ICDE (2012)
Lu, E.H.C., Chen, C.Y., Tseng, V.S.: Personalized trip recommendation with multiple constraints by mining user check-in behaviors. In: SIGSPATIAL (2012)
Lu, E.H.C., Lee, W.C., Tseng, V.S.: A Framework for Personal Mobile Commerce Pattern Mining and Prediction. IEEE TKDE24, 769–782 (2012)
Lu, E.H.C., Lin, C.Y., Tseng, V.S.: Trip-mine: an efficient trip planning approach with travel time constraints. In: MDM (2011)
Ye, M., Yin, P., Lee, W.C., Lee, D.L.: Exploiting geographical influence for collaborative point-of-interest recommendation. In: SIGIR (2011)
Ying, J.J.J., Lu, E.H.C., Kuo, W.N., Tseng, V.S.: Urban point-of-interest recommendation by mining user check-in behaviors. In: UrbComp (2012)
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Authors and Affiliations
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, 701, Taiwan, R.O.C.
Heng-Ching Liao & Chiang Lee
Department of Information Engineering and Computer Science, Feng Chia University, Taichung, 407, Taiwan, R.O.C.
Yi-Chung Chen
- Heng-Ching Liao
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Correspondence toYi-Chung Chen.
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Editors and Affiliations
National University of Kaohsiung, Kaohsiung City, Taiwan
Leon Wang
Matsuyama University, Matsuyama, Japan
Shiro Uesugi
National University of Kaohsiung, Kaohsiung City, Taiwan
I-Hsien Ting
Osaka University, Osaka, Japan
Koji Okuhara
National University of Kaohsiung, Kaohsiung City, Taiwan
Kai Wang
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Liao, HC., Chen, YC., Lee, C. (2015). Multiple Days Trip Recommendation Based on Check-in Data. In: Wang, L., Uesugi, S., Ting, IH., Okuhara, K., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2015. Communications in Computer and Information Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48319-0_25
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