以关联规则为理论基础,针对社会性网络服务(Social Networking Services,SNS)网站的个性化推荐问题进行研究.在系统总结个性化推荐方法基础上,详细给出基于关联规则的个性化推荐过程,综合运用可信度和作用度两个指标更好地对生成的关联规则进行评价.并采用SNS网站实际运营数据有效实现个性化推荐,对个性化推荐技术在SNS网站的实际应用价值进行拓展分析. Based on the association rules, this paper studies the personalized recommendation of social networking services (SNS) websites.On the basis of summarizing the personalized recommendation methods, the personalized recommendation process based on association rules is given in detail, We use the two indicators of credibility and degree of effectiveness to evaluate the generated association rules better, and use the actual operation data of SNS website to realize personalized recommendation effectively, then expand and analyze the practical value of personalized recommendation technology in SNS website .