Long tail service recommendation based on cross-view and contrastive learning

Dongjin Yu, Ting Yu, Dongjing Wang, Sixuan Wang

Abstract: Highlights•A long tail service recommendation method is proposed for application creation.•Contrastive learning is used globally and locally to capture implicit connection.•Double views are used to mitigate the problem of data sparsity and inferiority.•Extensive experiments on the real datasets show its superiority over baselines.