The use of data mining techniques in location-based recommender system
Nafiseh Shabib, John Krogstie · 2011
Due to exponential growth of available information about products, users face problems when trying to identify products of interest. Because of this there is a need to design systems to help users select products more tailored to their interests through recognition of users' behavior. In the present paper, by using data mining techniques and making clustering model, the users with similar preferences were recognized and provided with appropriate recommendations. These recommendations were not only personalized on the basis of customer's behavior but also by considering user's location. MovieLens, a movie recommendation site, was used for model assessment. The results of the assessment showed that the method presented in this paper has a good accuracy for prediction of users' preferences.