Temporal Meta-path Guided Explainable Recommendation
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin . Proceedings of the 14th ACM International Conference on Web Search and Data Mining 2021 – 83 citations
This paper utilizes well-designed item-item path modelling between consecutive items with attention mechanisms to sequentially model dynamic user-item evolutions on dynamic knowledge graph for explainable recommendations. Compared with existing works that use heavy recurrent neural networks to model temporal information, we propose simple but effective neural networks to capture user historical item features and path-based context to characterise next purchased item. Extensive evaluations of TMER on three real-world benchmark datasets show state-of-the-art performance compared against recent strong baselines.