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Found 3 papers, 1 papers with code
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
Among these methods, Kernel SHAP is widely used due to its model-agnostic nature and its well-founded theoretical framework.
A general graph-based framework for top-N recommendation using content, temporal and trust information
Recommending appropriate items to users is crucial in many e-commerce platforms that contain implicit data as users' browsing, purchasing and streaming history.
Link Stream Graph for Temporal Recommendations
Experiments conducted on four real world implicit datasets for temporal recommendation, with 3 evaluation metrics, show that LSG is the best in 9 out of 12 cases compared to BIP and STG which are the most used state-of-the-art recommender graphs.
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