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Found 3 papers, 1 papers with code
Intent-based Product Collections for E-commerce using Pretrained Language Models
In this paper, we use a pretrained language model (PLM) that leverages textual attributes of web-scale products to make intent-based product collections.
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
GPT-3 shows remarkable in-context learning ability of large-scale language models (LMs) trained on hundreds of billion scale data.
Global-Local Item Embedding for Temporal Set Prediction
Temporal set prediction is becoming increasingly important as many companies employ recommender systems in their online businesses, e. g., personalized purchase prediction of shopping baskets.
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