The Internet Movie Customer Satisfaction Model Based on User Generated Content

With the improvement of web 2.0 technology and rapid increasing number of internet users, the massive user generated content (UGC) becomes an important factor influencing product image and users´ decision. Combined with data mining technology, it can effectively avoid the limitation of traditional satisfaction survey method, and it can improve effectiveness and accuracy. The paper puts forward an internet movie customer satisfaction model based on traditional satisfaction model and comment data on movie review community websites. The results of the model prove that publicity has a direct influence on box office and customer satisfaction has little influence on box office. Thus it proves the phenomenon that why some movies has bad word of mouth but has high box office and some movies are opposite.