The Society of Convergence Knowledge Transactions 융복합지식학회논문지 ISSN:2287-8920(Print)

This paper proposes a hybrid web app-based tourism recommendation system using tourism behavior information applied with perceived value. The proposed system applied SNS tourism information and empirical analysis information reflecting the perceived value of tourists in their behavior to the hybrid web app-based tourism recommendation system. The degree of tourism behavior applied with perceptual value for tourism recommendation presented in this paper was first, the factors of SNS tourism information on perceptual value, second, the factors on perceptual value of action intention, and third, the factors of action intent on SNS tourism information. The three factors are aimed at presenting crucial information in recommending tour information to users in the hybrid web app-based tourism recommendation system presented in this paper. In this paper, variables were selected through questionnaires in analyzing and collecting information according to the proposed method, and the age group was targeted at those in their 20s. It presents a system to apply this information based on a hybrid web app. The proposed system was applied to the tourism recommendation system by collecting tourist information that can be collected from SNS and analyzing the value of tourists being late and their intentions that appear in human behavior. This provides empirical information by analyzing and mapping the associations of SNS-based tourism information, perceived values and behavior to tourism platforms in various fields operated around the previously used high-speed wired and wireless networks. This will maximize the effectiveness of the existing recommendations for tourist attractions.