International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 46 | Number 1 | Year 2017 | Article Id. IJCTT-V46P118 | DOI : https://doi.org/10.14445/22312803/IJCTT-V46P118

Automated Adaptive and Sequential Recommendation of Travel Route

Swaroopa V Dugani, Dr. Sunanda Dixit

Citation :

Swaroopa V Dugani, Dr. Sunanda Dixit, "Automated Adaptive and Sequential Recommendation of Travel Route," International Journal of Computer Trends and Technology (IJCTT), vol. 46, no. 1, pp. 90-94, 2017. Crossref, https://doi.org/10.14445/22312803/IJCTT-V46P118

Abstract

Big data has deeply rendered into both research and commercial fields such as health care, business and banking sectors. Automated Adaptive and Sequential Recommendation of Travel Route handovers automated and adaptive travel sequence recommendation from large amount of travel data. Unlike any other travel recommendation methods, this method is not only automated but it is personalized to user’s travel interest and also it is able to recommend a travel sequence rather than individual Points of Interest (POIs). This method has large amount of travel data which includes different places, the distributions of cost, visiting time and visiting season of each topic is mined to bridge the gap between user travel preference and travel routes and we also have topical package space. In order to get extensive impression and much better view points of the user topical package model and user travel route, we have made use of the community contributed photos in addition to travel data.

Keywords

Points of Interest (POIs), Topical Package Space, Community Contributed Photos, User Topical Package, GPS, DFD, BTV.

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