A Personalized Travel Recommender Model Based on Content-based Prediction and Collaborative Recommendation?

Mobile Recommender is the essential companion for a modern traveller. The collaborative travel recommender describes the architecture of a personalized mobile travel predictor by performing content-based filtering and inductive learning techniques depending on travel foot prints. Further the intelligent recommender is powered by collaborative techniques to resolve the multiarmed contextual bandit problem of the exploration/exploitation dilemma traveller may face in his endeavour.