Papers by Noam Razin

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Papers by Noam Razin

Findings

2020.findings-emnlp

BERT-based approach
inference techniques
NLP
language understanding tasks
text-based recommendations
learning catalog-specialized language models
text-based item recommendations
inference
language understanding task
wine recommendations

2020

Language Models

1 papers

RecoBERT: A Catalog Language Model for Text-Based Recommendations (2020.findings-emnlp)

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Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein

Language Models

Challenge:	RecoBERT is a BERT-based approach for learning catalog-specialized language models for text-based item recommendations.
Approach:	They propose a BERT-based approach for learning catalog-specialized language models for text-based item recommendations that incorporates four scores during inference.
Outcome:	The proposed model can infer item-to-item similarities more accurately than other methods.

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