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10.1145/3437963.3441762

In this paper, we propose a novel Temporal Meta-path Guided Explainable Recommendation (TMER), which 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.

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10.1109/tkde.2021.3096231

Many of existing methods which exploit meta-path guided strategy have shown promising results.

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10.1016/J.ESWA.2019.05.044

In this paper, we propose a heterogeneous proximity preserving network embedding model via meta path guided random walk, which is capable of capturing the high-order proximity between vertices specified by the given path.

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Meta Path Guided

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Mar 27, 2023

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Meta Path Guided - In this paper, we propose a novel Temporal Meta-path Guided Explainable Recommendation (TMER), which 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. ^[1] Many of existing methods which exploit meta-path guided strategy have shown promising results. ^[2] In this paper, we propose a heterogeneous proximity preserving network embedding model via meta path guided random walk, which is capable of capturing the high-order proximity between vertices specified by the given path. ^[3]