Attention-based dynamic user preference modeling and nonlinear feature interaction learning for collaborative filtering recommendation

Ruiqin Wang, Yunliang Jiang, Jungang Lou

Abstract: Highlights•Emphasize the key role of dynamic user preference modeling in CF recommendations.•Develop a CF model base on a time-aware attention based user preference modeling.•Extensive experiments show the superior performance of the proposed model.