Research On E-commerce Personal Recommender Algorithm Based On Artificial Immune Network

With the rapid development of Internet, E-commerce web site is gotten more and more emphasis. As the portal of one E-commerce enterprise, how to offer more individual services, how to improve the attraction of its commodities, and how to make the enterprise gaining more profit, which are all the important problems that the web site must resolve.E-commerce personal recommender system is an effective method to solving this problem. It is beneficial to improving the user's comfort feeling and building a kind of more firm relationship with customers. Among the numerous recommender technologies, collaborative filtering technique gets many scholars' favor because of its theory according with the actual requirement of recommendation sufficiently. In addition, the algorithm is also used in many commercial recommender systems widely.At first, this paper introduces the importance of using personal recommender system in E-commerce briefly. Then, it analyses the fundamental of collaborative filtering technology, and recommends several usual collaborative filtering algorithms in detail. And then through studying the natural immune and the artificial immune theories, it describes the idea of using...