An Intelligent Touring Recommendation System Using the Deep Learning and Augmented Reality Technology-Case Study of Toucheng Historic Street

Abstract

Recently, it is more and more difficult to make a decision because we receive a large amount of information through the Internet every day. Therefore, the recommender system becomes more and more popular. It can help users making decisions effectively by providing suitable suggestions to users, and those suggestions were processed according to users' browsing history and transaction. Therefore, the development of the recommender system in this research is based on cloud platform and focuses on providing location-based search and intelligent recommendation for resource objects. First, we will automatically through the pre-processing process, crawler technology and APIs provided by social networking sites, and use these data descriptions to enhance data search with correctness. Moreover, we design and build an integrated tourism augmented reality navigation system with recommendation technology and dynamic route planning which covers all tourism activities. The service also provided various valued-added services, such as wikitude Augmented Reality, subject guidance including POI, LOI and SOI, and stored trajectory path of users. Therefore, the user may have a story-based touring guidance while surfing the cultural and historic contents in advance.