A constraint-based tourist attraction recommender system

Abstract

The paper develops a constraint-based tourist attraction recommender system. The recommended system acts as a web-based application. It can generate a recommendation list of attractions for the tourists. Traditional recommender systems, content-based filtering and collaborative filtering, for instance, would not be satisfied for the application of tourist recommendation. Tourist attraction recommendation can be deemed as a constraint satisfaction problem (CSP). The constraint-based recommender system is illustrated. In order to demonstrate the calculation process of the system, the case is described in detail. Some thought and systematically work in the future is also explored.