With the rapid development of information technology and network, the information resources of the Internet have increased dramatically. The problem of information overload has promoted the development of customized recommendation technology. Collaborative filtering algorithm is widely used in various fields of e-commerce by establishing links between users and information. In this study, it is proposed that the user's personalized information data can be obtained by using the WeChat mini program, and through the collaborative filtering algorithm, an intelligent assistant designed for users can recommend customized life service information for users. In this paper, the design method of intelligent assistance is introduced, and the realization of system functions and customized recommendation function introduces elaborated in detail.