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GrocLM：基于大型语言模型的电子商务杂货类别推荐GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
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以下内容为 AI 自动翻译，英文原文附后供参考。
摘要
研究人员推出了GROCLM，这是一种专门为电子商务中的杂货类别推荐而设计的新型微调语言模型。通过采用两阶段训练策略，GROCLM在性能上显著提升，与传统推荐系统相比，购物车添加率每千次展示提高了7.5%。这一进展突显了大型语言模型在提升在线杂货购物环境中的用户参与度和转化率的潜力。
Researchers have introduced GROCLM, a novel fine-tuned language model specifically designed for grocery category recommendations in e-commerce. By employing a two-stage training strategy, GROCLM has demonstrated a significant improvement in performance, achieving a 7.5% increase in cart-adds per impression compared to traditional recommendation systems. This advancement highlights the potential of large language models in enhancing user engagement and conversion rates in online grocery shopping environments.
要点
GROCLM在电子商务中优于传统推荐系统。
GROCLM outperforms traditional recommendation systems in e-commerce.
该模型实现了购物车添加率每千次展示提高7.5%。
The model achieved a 7.5% increase in cart-adds per impression.
两阶段训练策略是其成功的关键。
A two-stage training strategy was key to its success.
为何重要
GROCLM的发展强调了人工智能对电子商务的变革性影响，特别是在通过个性化推荐优化客户体验和推动销售方面。
The development of GROCLM underscores the transformative impact of AI on e-commerce, particularly in optimizing customer experiences and driving sales through personalized recommendations.
产品经理
对于产品经理而言，GROCLM代表了一种前沿工具，可以增强用户参与度并改善转化指标，使其成为电子商务平台的宝贵资产。
For product managers, GROCLM represents a cutting-edge tool that can enhance user engagement and improve conversion metrics, making it a valuable asset for e-commerce platforms.
开发者
开发人员可以利用GROCLM的架构和训练策略构建更有效的推荐系统，推动人工智能在零售领域的应用边界。
Developers can leverage GROCLM's architecture and training strategies to build more effective recommendation systems, pushing the boundaries of what is achievable with AI in retail.
学生与求职者
学生和求职者应注意人工智能在电子商务中日益重要的地位，掌握像GROCLM这样的模型的专业知识可能在就业市场上具有显著优势。
Students and job-seekers should note the growing importance of AI in e-commerce, as expertise in models like GROCLM could be a significant advantage in the job market.
覆盖来源
来源标题与摘录保留原文，以便核对与追溯。
arXiv cs.AI
GrocLM: Grocery Category Recommendation in E-Commerce with Large Language ModelsResearchers developed GROCLM, a fine-tuned language model for grocery category recommendations in e-commerce, achieving a 7.5% increase in cart-adds per impression through a two-stage training strategy. This model outperforms traditional recommendation methods in live production settings.