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Mobile Travel Tour Recommendation

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Encyclopedia of GIS
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Synonyms

Mobile Recommender Systems in Tourism; Travel Recommendation for Tourists

Definition

Generally speaking, the “mobility” in users’ (i.e., tourists’) travel tour comes from both the users (i.e., they intend/plan to move from place to place) and their devices (i.e., some of the contexts of the user mobility may be recorded by their mobile devices). By mining these mobilities, either explicitly (interacting with the users) or implicitly (learning from user profiles and historical records), mobile travel tour recommendation aims to precisely and efficiently recommend users the destinations (e.g., Place of Interests (POI)) to visit, the routes to take, the attractive packages to choose, some other context-aware information (e.g., the events/activities nearby), etc. As a privileged type of recommender system, mobile travel tour recommendation has become a valuable tool to deal with the information overload problem in tourism.

Historical Background

Mobile travel tour recommendation...

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Recommended Reading

  • Agrawal R, Imieliński T, Swami A (1993) Mining association rules between sets of items in large databases. In: ACM SIGMOD record, Washington, DC, vol 22. ACM, pp 207–216

    Google Scholar 

  • Baltrunas L, Ludwig B, Ricci F (2011) Matrix factorization techniques for context aware recommendation. In: Proceedings of the fifth ACM conference on recommender systems. ACM, New York, pp 301–304

    Google Scholar 

  • Bao T, Cao H, Chen E, Tian J, Xiong H (2012) An unsupervised approach to modeling personalized contexts of mobile users. Knowl Inf Syst 31(2):345–370

    Article  Google Scholar 

  • Burdick D, Calimlim M, Gehrke J (2001) Mafia: a maximal frequent itemset algorithm for transactional databases. In: Proceedings of 17th international conference on data engineering, Heidelberg. IEEE, Los Alamitos, pp 443–452

    Google Scholar 

  • Gavalas D, Konstantopoulos C, Mastakas K, Pantziou G (2014) Mobile recommender systems in tourism. J Netw Comput Appl 39:319–333

    Article  Google Scholar 

  • Ge Y, Xiong H, Tuzhilin A, Xiao K, Gruteser M, Pazzani M (2010) An energy-efficient mobile recommender system. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, San Jose. ACM, New York, pp 899–908

    Google Scholar 

  • Giannotti F, Nanni M, Pinelli F, Pedreschi D (2007) Trajectory pattern mining. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 330–339

    Google Scholar 

  • Han J, Pei J, Yin Y (2000) Mining frequent patterns without candidate generation. In: ACM SIGMOD record, Dallas, vol 29. ACM, New York, pp 1–12

    Google Scholar 

  • Kenteris M, Gavalas D, Economou D (2011) Electronic mobile guides: a survey. Pers Ubiquitous Comput 15(1):97–111

    Article  Google Scholar 

  • Lee HJ, Park SJ (2007) Moners: a news recommender for the mobile web. Expert Syst Appl 32(1):143–150

    Article  Google Scholar 

  • Lian D, Zhao C, Xie X, Sun G, Chen E, Rui Y (2014) Geomf: joint geographical modeling and matrix factorization for point-of-interest recommendation. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 831–840

    Google Scholar 

  • Liu B, Xiong H (2013) Point-of-interest recommendation in location based social networks with topic and location awareness. In: SDM, Austin. SIAM, pp 396–404

    Google Scholar 

  • Liu Q, Ge Y, Li Z, Chen E, Xiong H (2011) Personalized travel package recommendation. In: 2011 IEEE 11th international conference on data mining (ICDM), Vancouver. IEEE, Los Alamitos, pp 407–416

    Google Scholar 

  • Liu B, Fu Y, Yao Z, Xiong H (2013a) Learning geographical preferences for point-of-interest recommendation. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining, Chicago. ACM, New York, pp 1043–1051

    Google Scholar 

  • Liu Q, Ma H, Chen E, Xiong H (2013b) A survey of context-aware mobile recommendations. Int J Inf Technol Decis Mak 12(01):139–172

    Article  Google Scholar 

  • Liu Q, Chen E, Xiong H, Ge Y, Li Z, Wu X (2014) A cocktail approach for travel package recommendation. IEEE Trans Knowl Data Eng 26(2):278–293

    Article  Google Scholar 

  • Pang-Ning T, Steinbach M, Kumar V et al (2006) Introduction to data mining. In: Library of congress. Addison Wesley

    Google Scholar 

  • Pasquier N, Bastide Y, Taouil R, Lakhal L (1999) Discovering frequent closed itemsets for association rules. In: Database Theory ICDT 99, Jerusalem. Springer, Berlin/New York, pp 398–416

    Chapter  Google Scholar 

  • Quercia D, Lathia N, Calabrese F, Di Lorenzo G, Crowcroft J (2010) Recommending social events from mobile phone location data. In: 2010 IEEE 10th international conference on data mining (ICDM), Sydney. IEEE, Los Alamitos, pp 971–976

    Google Scholar 

  • Ricci F (2010) Mobile recommender systems. Inf Technol Tour 12(3):205–231

    Article  Google Scholar 

  • Ricci F, Rokach L, Shapira B (2011) Introduction to recommender systems handbook. Springer, New York

    Book  MATH  Google Scholar 

  • Srivastava J, Cooley R, Deshpande M, Tan P-N (2000) Web usage mining: discovery and applications of usage patterns from web data. ACM SIGKDD Explor Newsl 1(2):12–23

    Article  Google Scholar 

  • Ye M, Shou D, Lee W-C, Yin P, Janowicz K (2011) On the semantic annotation of places in location-based social networks. In: Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 520–528

    Google Scholar 

  • Yuan J, Zheng Y, Zhang C, Xie W, Xie X, Sun G, Huang Y (2010) T-drive: driving directions based on taxi trajectories. In: Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems, San Jose. ACM, New York, pp 99–108

    Google Scholar 

  • Yuan J, Zheng Y, Xie X (2012) Discovering regions of different functions in a city using human mobility and pois. In: Proceedings of the 18th ACM SIGKDD international conference on knowledge discovery and data mining, Beijing. ACM, New York, pp 186–194

    Google Scholar 

  • Zheng Y, Xie X (2011) Learning travel recommendations from user-generated GPS traces. ACM Trans Intell Syst Technol 2(1):2

    Article  Google Scholar 

  • Zheng Y, Liu L, Wang L, Xie X (2008) Learning transportation mode from raw gps data for geographic applications on the web. In: Proceedings of the 17th international conference on World Wide Web, Beijing. ACM, New York, pp 247–256

    Google Scholar 

  • Zheng VW, Zheng Y, Xie X, Yang Q (2012) Towards mobile intelligence: learning from GPS history data for collaborative recommendation. Artif Intell 184:17–37

    Article  MathSciNet  Google Scholar 

  • Zhu H, Chen E, Xiong H, Yu K, Cao H, Tian J (2013, to appear) Mining mobile user preferences for personalized context-aware recommendation. ACM Trans Intell Syst Technol 5(4):1–27

    Google Scholar 

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Correspondence to Qi Liu .

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Liu, Q. (2017). Mobile Travel Tour Recommendation. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1519

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