Personalized recommendation algorithm research based on content in social network
Tang Xiao-chun · Jisuanji yingyong yanjiu · 2011
Based on the issue that how to acquire the interesting information for users quickly and effectively from massive data,this paper proposed a personalized recommendation algorithm based on content in social network.On the basis of obtaining user clusters with common interest,firstly used content similarity algorithm to mine content recommendation items based on social network logs,then obtained new content recommendation items based on user interest.The experimental results show that the algorithm can not only improve the accuracy of the content recommendation,but also extend the coverage of content.