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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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A System for Identifying Voyage Package Using Different Recommendations Techniques

Gajjela.Sandeep, R. Chandrashekar, , ,
Affiliations
M.Tech (CS),Department of Computer Science & Engineering , Sri Indu Institute of Engineering & Technology, Sheriguda (v)Ibrahimpatnam(M), RR District,501510
Assistant Professor, Department of Computer Science & Engineering , Sri Indu Institute of Engineering & Technology, Sheriguda (v)Ibrahimpatnam(M), RR District,501510
:NOT ASSIGNED


Abstract
- Recommendation system is very useful Technique for both Traveler and providers. And it’s provides various techniques to voyages to choose best tour package. However, most voyage recommender systems available are complicated and Confusing and usually rely on explicit user ratings to recommend, travel packages. However, user ratings for travel data are sparse, therein reducing their effectiveness in recommending travel packages.The unique characteristics of Voyage l packages are area of interest, session and travel mode. The tour spots are distributed in many geographical locations. In e- commerce the recommender system are having great victory. Here I proposed to develop new voyage system based on user’s interest and spatial-temporal correlations that exist within sets of locations, seasons and attractions. Further, I will assess relationships between travel users so than common users can be arranged into travel groups or the people who wants to travel as a group with their family or friends can also be arranged into travel groups.


Citation
Gajjela.Sandeep,R. Chandrashekar."A System for Identifying Voyage Package Using Different Recommendations Techniques". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.646-650, SEPTEMBER - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I925.pdf,


Keywords : collaborative filtering , recommender systems , AI techniques , Voyage Package.

References
[1] G. Adomavicius and A. Tuzhilin, “Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions,” IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, pp. 734-749, June 2005. 
[2] Y. Ge et al., “An Energy-Efficient Mobile Recommender System,” Proc. 16th ACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining (SIGKDD ’10), pp. 899-908, 2010 
[3] B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, “Application of Dimensionality Reduction in Recommender Systems-a Case Study,” Proc. ACM WebKDD Workshop, pp. 82-90, 2000. 
[4] M. Xie, L.V.S. Lakshmanan, and P.T. Wood, “Breaking Out of the Box of Recommendations: From Items to Packages,” Proc. Fourth ACM Conf. Recommender Systems (RecSys ’10), pp. 151-158, 2010. 
[5] Y. Ge et al., “Cost-Aware Travel Tour Recommendation,” Proc. 17th ACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining (SIGKDD ’11), pp. 983-991, 2011. 
[6] http://en.wikipedia.org/wiki/Package_tour 
[7] "Travel Agents Could Lose Out in the Dynamic Packaging Battle". First Conferences Ltd. 2005.Archived from the original on 6 February 2005.Retrieved 19 January 2005. 
[8] Method and apparatus for the composition and sale of travel-oriented packages". United States Patent Number 7,136,821 Inventors: Kohavi, Bar-david, et al. 2006. Retrieved 16 November.
[9] J. Delgado and R. Davidson, “Knowledge Bases and User Profiling in Travel and Hospitality. Recommended Systems, 2002 Conf. (ENTER ’02), pp. 1-16, 2002. 
[10]U.M. Fayyad and K.B. Irani, “Multi-Interval Discretization of Continuous-Valued Attributes for Learning 
[11]F. Fouss et al., “Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation,” IEEE Trans. Knowledge and Data Eng., vol. 19, no. 3, pp. 355-369, Mar. 2007 
[12]Y. Ge et al., “Cost-Aware Travel Tour Recommendation,” Proc. 17th ACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining (SIGKDD ’11), pp.983-991, 2011. 
[13]Y. Ge et al., “An Energy-Efficient Mobile Recommender System,” Proc. 16th ACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining (SIGKDD), pp. 899-908, 2010. 
[14]M. Gori and A. Pucci, “ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines,” Proc. 20th Int’l Joint Conf. Artificial Intelligence (IJCAI ’07), pp. 2766-2771, 2007. 
[15]U. Gretzel, “Intelligent Systems in Tourism: A Social Science Perspective,” Annals of Tourism Research, vol. 38, no. 3, pp. 757-779, 2011. 
[16]T.L. Griffiths and M. Steyvers, “Finding Scientific Topics,” Proc. Nat’l Academy of Sciences USA, vol. 101, pp. 5228-5235, 2004. 
[17]Q. Hao et al., “Equip Tourists with Knowledge Mined from Travelogues,” Proc. 19th Int’l Conf. World Wide Web (WWW ’10), pp. 401-410, 2010. 
[18]J. Herlocker, J. Konstan, L. Terveen, and J. Riedl, “Evaluating Collaborative Filtering Recommender Systems,” ACM Trans. Information Systems, vol. 22, no. 1, pp. 5-53, 2004.
[19]A. Jameson and B. Smyth, “Recommendation to Groups,” The Adaptive Web, vol. 4321, pp. 596-627, 2007. 
[20]J. Herlocker, J. Konstan, L. Terveen, and J. Riedl, “Evaluating Collaborative Filtering Recommender Systems,” ACM Trans. Information Systems, vol. 22, no. 1, pp. 5-53, 2004.


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