One Tag Time-weighted Recommend Approach on Tripartite Graphs Networks
Yiran Gu, Min Chen · 2012
Social tags can provide highly Abstract information about not only item contents but also personalized prefe-rences,hence using labels could improve the accuracy of personalized recommendation.As a result of user preferences changes over time,network resources also will be increased as time goes by.How to recommend the network resources in which users have immediate interest based on the user preferences changes becomes a new research problems in the recommendation system.Combined with using tag frequency and label time on user-object-tag tripartite graphs,we proposed a recommendation algorithm based on tag time-weighted network.Experimental results demonstrate that the usage of tag time-weighted can significantly improve accuracy and diversification of recommendations.