CosRec encodes sequences as pairwise item tensors and applies 2D convolutions, achieving reported state-of-the-art results on two benchmark datasets, though without variance estimates or several cited baselines.
Title resolution pending
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
-
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
CosRec encodes sequences as pairwise item tensors and applies 2D convolutions, achieving reported state-of-the-art results on two benchmark datasets, though without variance estimates or several cited baselines.