Abstract

• Recommendation systems are software tools and techniques providing suggestions for items to be of interest to a user and can help to overcome the problem of information overload. Tourism is a primary application area for mobile applications to support the travellers before, during and after the travel. A mobile based travel recommendation system can effectively help the customers to find their trip destination according to their interests. Knowledge-based systems generate recommendations using specific domain knowledge about how certain item features meet user preferences, and ultimately, how the item is of interest to the user. A specific type of knowledge-based recommenders are constraint-based recommenders. In this research, the system suggests personalized travel locations to a user by exploiting predefined knowledge bases that contain explicit rules about how to relate customer requirements with item features based on knowledge-based filtering method.