TRS – A Rule Based Personalized Tourism Recommender System

Abstract

Abstract: In today’s world many people rely on online services. They even plan for their trips by searching places online. However, they usually face problems of being supplied with lots of information. In consequence, they end up wasting a great amount of time in searching and decision making. Getting the expert advice to specify a reliable tourist attraction quickly and consistent to the requirements of each tourist was difficult, and the amount of experienced experts who can advise for tourism issues was insufficient. Providing an effective service in the tourism sector, such as using the technology of computer systems, can be the right solution and very necessary to attract foreign and local tourists to visit the tourist attractions in the country. Travel and Tourism domain is one of the most important economic areas of a nation and recommender systems in this domain would cater to not only the tourists but also to the governments. To save time and improve the tourist experience, the recommender system recommends to a tourist the most attractive places across the country according to their preferences. The application also allows the user to help book hotels. Along with displaying some of the famous attractions in that place.