The paper presents a cross-domain collaborative filtering method that learns translation vectors between item embeddings in source and target domains, and a deep variant, both evaluated on Amazon data.
Conet: Collaborative cross networks for cross-domain recommendation
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Cross-Domain Collaborative Filtering via Translation-based Learning
The paper presents a cross-domain collaborative filtering method that learns translation vectors between item embeddings in source and target domains, and a deep variant, both evaluated on Amazon data.