Social recommendation systems can improve quality in cases of sparse user–item interaction data, which has attracted the industry’s attention. In reality, social mostly mine real user preferences from networks. However, trust relationships networks are complex and it is difficult to extract valuable preference information, worsens performance. To address this problem, paper proposes a algorithm...