TRAVEL ROUTE IMPLICATION WITH SOCIAL MEDIA DATA USING KNN ALGORITHM
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 6, Pages 2437-2444
AbstractTravelling a trip to relax human physical as well mental stress is important for well being. When masterminding a trip, customers reliably have unequivocal tendencies as for their excursions. In the existing system travel recommendation results will be based on frequently searched places, which display only the important places. It doesn’t display the nearest traveling spot with the distant and the time to be reached. Also, a different and delegate set of suggested travel courses is required. This proposed system will overcome the existing system where the user can view the nearest next place for visiting. This will direct the route and the time to reach that location. The technique used to implement this framework K-Nearest Neighbor algorithm is used. This will extract the nearest place that need to visit with the location address and the estimated time. This will enhance the user experience to navigate the travelling location. This algorithm comes under Classification Algorithm that will classify the location spot with the route navigation in which the query given by the user. This proposed system brings the user to recommend the trip experience to their friends by giving the feedbacks. This feedback will be taking an account by other users.
- Article View: 95
- PDF Download: 135