Travel planning is essential for everyone in road trip to make the journey memorable one. To have a joyful journey, users need to know the details of popular site seeing places to visit on the way to their destination. Due to the growth of the mobile technology, people tend to utilize their time in planning by searching through their handheld devices like mobile phone, palm tops etc. The Road Trip Recommendation System is an application that helps to plan the trip effectively by using the user preferences. This system takes source, destination and users' interests/preferences as the input to generate the most optimal path from the source to the destination considering most of the places which falls under the users‟ interest along the way. This generated optimal path is displayed as recommended route map to the user including the intermediate places. In addition to generating the most optimal path, this system also recommends the best season to visit the places selected in the route using decision tree classifier. This helps the users to decide the best month to travel from source to destination so that the user will get the most out of the trip. This system minimizes the planning time of the travelers by integrating both the generation of the optimal path and prediction of the best months to travel.
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Road Trip Recommendation System Using User Preferences
Semantic Scholar · Computer Science · 2021
Abstract
Travel planning is essential for everyone in road trip to make the journey memorable one. To have a joyful journey, users need to know the details of popular site seeing places to visit on the way to their destination. Due to the growth of the mobile technology, people tend to utilize their time in planning by searching through their handheld devices like mobile phone, palm tops etc. The Road Trip Recommendation System is an application that helps to plan the trip effectively by using the user preferences. This system takes source, destination and users' interests/preferences as the input to generate the most optimal path from the source to the destination considering most of the places which falls under the users‟ interest along the way. This generated optimal path is displayed as recommended route map to the user including the intermediate places. In addition to generating the most optimal path, this system also recommends the best season to visit the places selected in the route using decision tree classifier. This helps the users to decide the best month to travel from source to destination so that the user will get the most out of the trip. This system minimizes the planning time of the travelers by integrating both the generation of the optimal path and prediction of the best months to travel.