Dynamo: Dynamic Multimodal Route and Travel Recommendation System

Abstract

In this fast paced world with transformation of lifestyle and preferences, there is an immediate call for personalized tour packages. Personalized travel sequence recommendations and situation aware multimodal route recommendations are recent evolutions in the field of travel based recommendation systems. At present, most online routing applications still provide only the shortest distance or shortest travel-time routes, and neglects individual preferences. It does not address the current situation such as real time traffic present in the routes. To address the above mentioned issues, we propose DYNAMO: DYNAmic (Real time based) multimodal route recommendation system based on user preferences, POI and current scenario of travel routes. The proposed system obtains user preferences from mobile client and generates travel packages containing multiple POI's and customized route recommendations using Web mining, Bayesian learning, Collaborative filtering methods. The proposed DYNAMO is evaluated for the real-time travel routing and the results proves the enhanced efficiency by exploiting user preferences.