Design and Implementation of an Intelligent Optimal Tourism Price Strategy System

Abstract:
Use cloud computing and distributed computing framework Hadoop to manage tourism resources. Through the maui open source job scheduler, it regularly crawls into different tourist attractions websites, extracts and analyzes the data of these tourist attractions websites, and stores the tourist attractions prices calculated by the price comparison algorithm in the HDFS database for tourists to find the data they need. Recommend the most cost-effective tourist routes for tourists to improve their tourism perception and happiness index.