Research on Association Rules Based SNS Personalized Recommendation
Zhicai Li · Shuxue de shijian yu renshi · 2011
On the basis of association rules theory,personalized recommendation problem in Social Networking Services(SNS) is studied.After summarizing the personalized recommendation approaches systematically,the personalized recommendation process based on association rules is presented in detail.In the process,two indicators Confidence and Lift are used comprehensively 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.