基于协同过滤算法的微信小程序智能助手

随着信息技术和网络的不断迅猛发展，互联网的信息资源急剧增长.信息过载问题促进了个性化推荐技术发展.协同过滤算法通过在用户和信息之间建立联系，被广泛应用于电子商务各个领域.本文提出通过利用微信小程序来获取用户的个性化信息数据，并且通过协同过滤算法，为用户设计的微信小程序智能助手，能够为用户推荐符合用户个性化的生活服务信息.在本文中，介绍了智能助手的设计方法，并详细介绍了系统的功能和个性化推荐功能的实现.

Intelligent Assistant for WeChat Mini Program Based on Collaborative Algorithm

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.