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.
Cross-domain recommendation via cluster-level latent factor model
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.