DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models

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On September 7, 2026, arXiv cs.AI published the research on DeepAffinity. This work proposed a method based on small language models (SLMs) to predict long-term preference aspects in e-commerce scenarios.

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DeepAffinityLLMSmall Language Models

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DeepAffinity1
Small Language Models1
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A arXiv cs.AI en 2026-09-07 12:00

DeepAffinity 提出了一种利用小语言模型（SLMs）预测电商用户对产品品牌、尺寸、颜色等属性长期偏好的方法。该方法将属性亲和性定义为时间序列预测任务，通过结构化提示和专用预测头微调 SLM，使其能捕捉超越当前会话的长期偏好演变。实验表明，DeepAffinity 优于标准生成式微调方法，而通用开源大语言模型在未进行任务特定调优时表现不佳。最终，DeepAffinity 在大型跨国电商平台显著提升了推荐质量。