Web application for recommending personalised mobile tourist routes

This study deals with the problem of deriving personalised recommendations for daily sightseeing itineraries for tourists visiting any destination. The authors´ approach considers selected places of interest that a traveller would potentially wish to visit and derives a near-optimal itinerary for each day of visit; the places of potential interest are selected based on stated or implied user preferences. The authors´ method enables the planning of customised daily personalised tourist itineraries considering user preferences, time available for visiting sights on a daily basis, opening days of sights and average visiting times for these sights. Herein, the authors propose a heuristic solution to this problem addressed to both web and mobile web users. Evaluation and simulation results verify the competence of the authors´ approach against an alternative method.