The traditional recommendation strategy that aimed at all users adopting the same recommendation method could not satisfy current E-commerce enterprises and usersneeds.The advanced one was that centered in users and implemented information recommendation on the base of the fully mined usersvalue.This paper divided E-commerce users into new user

advanced user and ordinary user.It proposed the E-commerce intelligent recommendation strategy based on user segmentation.According to the difference of users

the paper designed different recommendation methods to guarantee enterprises and usersprofit.The experimental results indicate that the proposed recommendation strategy and the designed recommendation methods are efficient.