Travel Route Recommendation Using GA Optimization

With the favour of several websites, the stakeholders can share their photos and check-in records during their trips. In the perception of several users historical mobility records in several websites by finding travel experiences to facilitate trip planning. While planning a trip, the stakeholders always have explicit preferences regarding the trips. Instead of restricting users to limited query options such as locations, activities, or time periods, this paper considers arbitrary text descriptions as keywords about personalized requirements. Even though, a different and representative set of recommended travel routes is needed. To meet the need for automatic trip organization, the system claim that more features of Places of Interest (POIs) should be extracted. Therefore, this paper proposes about keyword based representative travel route recommendation using Depth First Search Algorithm and Genetic Algorithm. Based on the precision value top ten keywords are extracted and possible routes for the locations are identified using Depth First Search Algorithm. Optimal solution for the routes will be generated using Genetic Algorithm. To provide benefiting query results, this paper proposes genetic algorithm with improved performance.