基于关联规则的SNS网站个性化推荐研究  

Research on Association Rules Based SNS Personalized Recommendation

作　　者：武森[1] 徐丽[1] 李志才[1] 

机构地区：[1]北京科技大学经济管理学院,北京100083

出　　处：《数学的实践与认识》2011年第23期47-52,共6页Mathematics in Practice and Theory

基　　金：国家自然科学基金(70771007);中央高校基本科研业务费专项资金(FRF-TP-10-006B)

摘　　要：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.On the basis of association rules theory, personalized recommendation problem in Social Networking Services （SNS） is studied. After summariziug the personalized recommenda- tion approaches systematically, the personalized recommendation process based on association rules is presented in detail. In the process, two indicators Confidence and Lift are used compre- hensively to better evaluate the generated association rules. And real operational data of a SNS network is adopted to implement the personalized recommendation effectively, its application value is analyzed extensively.

关 键 词：社会性网络服务 个性化推荐 关联规则 

分 类 号：TP393.092[自动化与计算机技术—计算机应用技术]