The present invention relates to the technical field of big data and data mining recommendation systems, and in particular to a user log and entity relationship gallery-based personalized recommendation system and a recommendation method thereof. The system of the present invention comprises: a data interface layer, a user log system, a knowledge base, an entity relationship gallery and a recommendation operational system. The data interface layer is used for communicating with upper layer business systems; the user log system comprises all operation records of a user in an application system; the knowledge base is a set of all data in the application system and a learning set of the recommendation system; the entity relationship gallery is used for storing correlation relationships among the user, data entities, attributes and the like; and the recommendation operational system automatically recommends topic data, in which the user is interested, to the user according to a particular algorithm by integrating user preference and user weight. The present invention solves the problem of cold start of the recommendation system and also the problem that the recommendation operational complexity increases because of the constantly changing interest of the user; the personalized recommendation system and method can be applied to big data processing.
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