Faculty of Computer Engineering, Islamic Azad University of Sanandaj, Iran.
By performing behavior mining techniques, we can provide the exchange background of information among people and present more simple solutions to suggest touristic places and attracting more tourists to such places. Through using this approach, the speed and the quality of searching process increase among tourists and the amount of wasted time decreases during the search process. Finding people with the same behavioral patterns in web environment and creating a connection bridge between them has become an important need in business and education that can save the time and help people to obtain considerable results regarding the development of recommender systems for commercial goals or help students to improve their scientific level. Ethological techniques have been used for searching tourists’ behavior and as a method to suggest the best touristic region to them based on factors like capabilities, budget, interests and etc. A data set has been collected through distributing questionnaire among 1000 people who at least have taken a trip to the considered place and by using similarity criteria, the process of finding similarities has been performed. Finally, the obtained accuracies in two situations have been compared.