원문정보
초록
영어
The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.
목차
1. Introduction
2. Related Works
2.1 AR
2.2 Big Data-Based Tourism Image Analysis
2.3 Analysis of Tourism Preference Using Machine Learning
3. Proposed System
3.1 System Architecture
3.2 Analysis of Character-Based Tourism Image Using Machine Learning
3.3 AR Framework Based on Emotional Map
4. Applying System
4.1 Analysis of Tourism Image Based on User Characteristics
4.2 Implemented System
5. Conclusion
References