Research on personalized tour service system

Personalized service is becoming a hot topic in information processing field. It is necessary to provide pertinent service to different customers if travelers differ in their interests. To meet the need of personalized service and aim to implementing personalized recommendation, a new model on traveler´s interest is proposed at the beginning of this paper. Then the paper focuses on the research on the relationship between travelers´ behavior and their preference as well as the interests reflected by those users´ log files. This paper gives an algorithm of mining user´s true preference on mobile network.