Tourist Traveller Guide and Suggestion System for Easy Tourism

Abstract

Location-based social network (LBSN) services allow users to perform check-in and share their check-in
data with their friends. In particular, when a user is traveling, the check-in data are in fact a travel route with some
photos and tag information. As a result, a massive number of routes are generated, which play an essential role in many
well-established research areas, such as mobility prediction, urban planning and traffic management. In this paper, we
focus on trip planning and intend to discover travel experiences from shared data in location-based social networks. To
facilitate trip planning, the prior works in provide an interface in which a user could submit the query region and the
total travel time. In contrast, we consider a scenario where users specify their preferences with keywords. For example,
when planning a trip in Sydney, one would have “Opera House”. As such, we extend the input of trip planning by
exploring possible keywords issued by users.