Recommendation and suggestion System For Easy Tourism

Abstract

— optimal route search using spatial keyword query focus on keyword searching using best keyword cover
query which is a form of spatial keyword query. It operates on spatial objects stored in spatial database and comes with
algorithms that can retrieve answer in a fast manner. Best keyword cover query aims to find objects associated with
keywords. The method proposed considers keyword rating, keyword relevance and spatial relevance. It also helps to
retrieve data based on Boolean range query. 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 is 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.