In this research, we introduce a product recommended processes for time-based products. And we try to select the most valued rules in lots of association rules through an interesting pattern which is based on contribution margin factor. The purpose of this research is to improve the sales of products by providing personalized product recommendations for each customer. By an experiment in the case of MOD users' behavior about accessing VOD, results show that exist a significant positive influence can improve in consumers' purchase intention.