For the popularity of smartphones and tablet PCs, as well as the convenience of the mobile Internet, consumers who hold the proportion of smart handheld devices has increased annually, it changes the behavior and lifestyle of people using smart handheld devices. Therefore, the smart handheld devices have become the important medium for people to share the information and deliver the service, which not only changes the lifestyle of the people, but also accelerate the new mobile commerce development. E-commerce websites supplier must think how to attract consumers more carefully, and how to handle customers’ management to increase customer loyalty. E-commerce recommender system is widely applied in the E-commerce field, and the recommender system can promote e-commerce sales with three advantages respectively, which includes enabling browsers into buyers, cross-sell and enhance loyalty. Therefore, this study uses a collaborative filtering recommender system, on the basis of user browsing time in the App, browsing history and click to evaluate the user’s preferences by appraisal mechanism contour, and then send the notification message to the inferred user categories. The recommended notification with superior information or selected more proper product for the customers to reinforce their satisfaction and master the consumption trend. The customers’ data sent by the Institute calculated with less click through rate can achieve a higher efficiency.
