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 pr...

BACKGROUND The emergence of advanced IT and cloud services has beneficially supported the information-intensive tourism industry, simultaneously caused extreme competitions in attracting customers through building efficient service platforms. On response, numerous nations have implemented cloud platforms to provide value-added sightseeing information and personal intelligent service experiences...

Many people love traveling for entertainment nowadays. In a journey, visitors often produce digital multimedia resources by capturing images, audios and videos. With digital devices like cameras, travel notes are not limited to texts, multimedia resources are also used for decorating records in a journey. In this paper, an interactive traveling assistant application is proposed to save time for...

In this paper we describe SARA Singapore’s Automated Responsive Assistance – an Android mobile phone application for touristic information in Singapore. The application provides information about local attractions, restaurants, sightseeing direction and transportation services. Using a GPS integrated module SARA is able to detect the user’s location on a map providing orientation and direction ...

Abstract Thanks to the continuous development of tourism industry, application Internet things (IoT) begins boom among modern tourists. Smart utilizes facilitate information dissemination and exchange, making IoT technology an indispensable part next-generation travelling tool kits. In this paper, based on visitor selection behavior, we develop a hybrid intelligent categorization approach. Part...