关键词: 推荐系统, 个性化, 协同过滤, 大数据

Abstract: Recommender system is the product of cyber age today. There have been many achievements in research and application. This paper makes a comprehensive survey of the recommender system. It proposes three research phases, and points out the milestone events in each stage of recommender system development. In the age of big data, exploiting recommendation in the perspective of data, this paper classifies the recommender system into seven main classes according to the different data used in recommendation, and analyzes and comments the recommended models used in each classification and their advantages and disadvantages. Exploiting big data in the perspective of recommendation, this paper proposes that making recommendation based on big data is one of the promising research directions. Finally, this paper compares the evaluation metrics of recommendation, and gives future research directions.

Key words: recommender system, personalization, collaborative filtering, big data