Combining content and relation analysis for recommendation in social tagging systems

► Many social tagging recommendation methods suffer from the over sparse problem. ► We overcome the problem by combining the analysis of content and relation. ► We follow a latent Dirichlet allocation (LDA) approach in the hybrid model. ► Experimental results show improvements in metrics for various recommendation tasks.