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Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results
This paper proposes a novel method to improve the accuracy of product search in e-commerce by utilizing a cluster language model.
Text classification in shipping industry using unsupervised models and Transformer based supervised models
A small number of manually labelled cargo content data was used to evaluate the classification performances of the unsupervised classification and the Transformer based supervised classification.
Deep Embedding Kernel
In this paper, we propose a novel supervised learning method that is called Deep Embedding Kernel (DEK).
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