Personalized Intelligent Hotel Recommendation System for Online Reservation--A Perspective of Product and User Characteristics

Online hotel reservation makes travel easier, But a large number of online hotel information also makes people become unable to follow. Online hotel reservation websites need try to gain exposure to customers´ eyes and recommend a personalized hotel list. Nowadays, Personalized Intelligent Hotel Recommendation Systems have been researched widely, but rarely in online hotel reservation. The paper summarizes representative online hotel reservation websites´ personalized recommendation system situation, such as qunar, kuxun, ctrip and elong etc. personalized recommendation have poor performance. This research firstly extracts Hotel Characteristic factor , attempts to analyze customers´ browsing and purchasing behaviors and secondly constructs a personalized online hotel marketing recommendation system polymerization model for Multi-level customer ,at last presents an achieve Matlab procedure implementing the core arithmetic of the personalized recommendation.