Automated Adaptive and Sequential Recommendation of Travel Route
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-46 Number-2 |
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| Year of Publication : 2017 | ||
| Authors : Swaroopa V Dugani, Dr. Sunanda Dixit | ||
| DOI : 10.14445/22312803/IJCTT-V46P118 |
Swaroopa V Dugani, Dr. Sunanda Dixit "Automated Adaptive and Sequential Recommendation of Travel Route". International Journal of Computer Trends and Technology (IJCTT) V46(2):90-94, April 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
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.
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Keywords
Points of Interest (POIs), Topical
Package Space, Community Contributed Photos,
User Topical Package, GPS, DFD, BTV.