Search Results for author:
Found 6 papers, 3 papers with code
Latent Topic-aware Multi-Label Classification
In real-world applications, data are often associated with different labels.
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation
Specifically, the denoising process considers both social network structure and user interaction interests in a global view.
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences
It is centered on multi-category video games, consisting of two {components}: Balance-driven Implicit Preferences Learning for data pre-processing and Clustering-based Diversified Recommendation {Module} for final prediction.
Asymmetric feature interaction for interpreting model predictions
In this work, we propose an asymmetric feature interaction attribution explanation model that aims to explore asymmetric higher-order feature interactions in the inference of deep neural NLP models.
Collaborative Residual Metric Learning
In collaborative filtering, distance metric learning has been applied to matrix factorization techniques with promising results.
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation
In this paper, we investigate the graph sampling strategy adopted in latest GCN model for efficiency improving, and identify the potential item group structure in the sampled graph.
