Study on Algorithm to Generate Trip Plans with Prior Experience Based on Users’ Ratings


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 12, pp. 537-546, Dec. 2014
10.3745/KTSDE.2014.3.12.537, Full Text:

Abstract

The purpose of this study is to develope an algorithm which generates trip plans based on rating points of travel app users and travel experts to help potential travellers experience their desired destinations in advance. This algorithm uses the above rating points and the gradually created hierarchy to generate the most preferred and efficient trip courses. Users can go through video clips or panoramic VR videos of the actual destinations from their trip plans generated by the algorithm which may add excitement to their actual trips. With our heuristic methods, the more users input their ratings, the better trip plans can be generated. This algorithm has been tested on android OS and proven efficient in generating trip plans. This research introduces a way to experience travel destinations with panoramic VR video and proposes the algorithm which generates trip plans based on users` ratings. It is expected to be useful for travellers` trip planning and to contribute growth in the travel market.


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Cite this article
[IEEE Style]
H. K. Jung, S. M. Lim and S. M. Hong, "Study on Algorithm to Generate Trip Plans with Prior Experience Based on Users’ Ratings," KIPS Transactions on Software and Data Engineering, vol. 3, no. 12, pp. 537-546, 2014. DOI: 10.3745/KTSDE.2014.3.12.537.

[ACM Style]
Hyun Ki Jung, Sang Min Lim, and Seong Mo Hong. 2014. Study on Algorithm to Generate Trip Plans with Prior Experience Based on Users’ Ratings. KIPS Transactions on Software and Data Engineering, 3, 12, (2014), 537-546. DOI: 10.3745/KTSDE.2014.3.12.537.