Tourism e-commerce recommender system based on web data mining

Recommender system based on web data mining is widely used in e-commerce for it generates more accurate and objective recommendation results and provides personalized service for web users. This paper makes analysis on some major recommendation methods based on web data mining such as Collaborative Filtering and Association Rules mining, and discusses the practical application of these methods in the tourism e-commerce, and then presents a design of web mining based tourism e-commerce recommender system with offline and online modules.