Design of tourism resources management based on artificial intelligence

In the era of Web 2.0, it provides great chances for users to obtain rich information. Particularly, tourists want to easily get tremendous information about their tourism plans. Therefore, in this paper, we aim to design a tourism resources management system and guide the tourists to plan their travel routes. The proposed tourism resources management system contains information organization and filtering module and contents module. Information organization and filtering module includes three function modules: RSS filtering, Collaborative filtering, and Tag filtering. On the other hand, contents module contains various types of data sources, such as Blog, Microblog, Social bookmark, Wild, and SNS. The main innovation of this paper is to introduce artificial intelligence technique in tourism resources management, that is, we proposed a novel heterogeneous Web data extraction method to generate tourism website contents. Finally, experimental results prove that the proposed tourism resources management system is able to effectively integrate tourism information and provide high quality information service for tourists.