Formulates cold-start recommendation as a zero-shot learning problem and proposes Low-rank Linear Auto-Encoder (LLAE) to address domain shift, spurious correlations, and efficiency.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
From Zero-Shot Learning to Cold-Start Recommendation
Formulates cold-start recommendation as a zero-shot learning problem and proposes Low-rank Linear Auto-Encoder (LLAE) to address domain shift, spurious correlations, and efficiency.