AI Research
GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
The rapid growth of online grocery shopping requires recommendation systems that capture cyclical purchasing behavior and diverse user intents. Traditional item-level methods face scalability and accuracy challenges, motivating category-level recommendation as a more structured a...
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ArXiv CS.AI
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ArXiv CS.AI
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This research leverages Large Language Models (LLMs) to tackle the complex challenge of recommending grocery categories, effectively capturing cyclical buying habits. By fine-tuning an LLM with a novel training strategy and constrained decoding, it achieves significant improvements in real-world e-commerce restocking, showcasing LLMs' potential beyond simple content generation.
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