NeuCDCF is a wide-and-deep neural architecture for cross-domain collaborative filtering that jointly learns matrix factorization and deep representations, reporting better performance than prior CDCF models on four real-world datasets.
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A review of 42 primary studies expands the definition of Algorithm Debt in ML/DL systems, identifies its smells, and suggests future research directions.
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Neural Cross-Domain Collaborative Filtering with Shared Entities
NeuCDCF is a wide-and-deep neural architecture for cross-domain collaborative filtering that jointly learns matrix factorization and deep representations, reporting better performance than prior CDCF models on four real-world datasets.
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A Survey of Algorithm Debt in Machine and Deep Learning Systems: Definition, Smells, and Future Work
A review of 42 primary studies expands the definition of Algorithm Debt in ML/DL systems, identifies its smells, and suggests future research directions.