关键词: 个性化推荐, 信息流, 算法设计

Abstract: In dealing with the needs of real-time personalized recommendation，personalized recommendation method for E-Commerce system is studied through deep mining of customer’s browse record based on information flow representation，generation and analysis.In order to manage information flow，this paper proposes a personalized recommendation algorithm，which consists of four phases：information flow definition，information flow evaluation，knowledge matching and website dynamic organization.A model including client，server and storage system is designed based on J2EE.To demonstrate the practical usefulness of this methodology，a real-life case is illustrated，which shows recommendation accuracy increases according to the increase of training number，and superior to association rule.

Key words: personalized recommendation, information flow, algorithm design