Intelligent tourist attractions recommendation system based on cases

This paper describes how to meet the tourists´ demands by using web crawlers, perceptual hashing, decision tree modeling and other technologies in city tourist attractions recommendation. The system makes the intelligent suggestions by using web crawlers to capture weather conditions for the next few days, and builds a decision tree according to the data base of users´ feedbacks. It analyses the result of the model and updates the algorithms. To solve the tourist picture reviews issue, we design and implement a hashing algorithm base on digital image sense technology and give out the test and analysis results.