图 书 馆开课单位--复旦大学
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1Highly Liquid Temporal Interaction Graph Embeddings[高流动性时间交互图嵌入]
Huidi Chen(复旦大学) Highly Liquid Temporal Interaction Graph Embeddings
热度：31
Huidi Chen(复旦大学) Highly Liquid Temporal Interaction Graph Embeddings
热度：31
2Optimal Dimensionality of Metric Space for Classification[用于分类的度量空间的最佳维数]
Xiangyang Xue(复旦大学) For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained cl...
热度：34
Xiangyang Xue(复旦大学) For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained cl...
热度：34
3Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model[通过评级矩阵生成模型进行协同过滤的转移学习]
Bin Li(复旦大学) Cross-domain collaborative filtering solves the sparsity problem by transferring rating knowledge across multiple domains. In this paper, we propose a...
热度：156
Bin Li(复旦大学) Cross-domain collaborative filtering solves the sparsity problem by transferring rating knowledge across multiple domains. In this paper, we propose a...
热度：156
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