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Research questionHow can we forecast evolving product-attribute preferences from users’ time-ordered interactions?Users may repeatedly reveal preferences for attributes such as brand, size, or color, but those preferences can evolve over time. The challenge is to infer future attribute choices from this temporal history at a fine-grained level.
AI
Business
Machine Learning
Small / On-device Models
Technology
Latest papersRecent research connected to this question, newest first.DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language ModelsThe source studies temporal aspect-affinity prediction with small language models using structured prompts and specialized prediction heads. Evidence comes from a large-scale, multinational e-commerce platform and includes comparisons with standard generative fine-tuning and general-purpose open-source language models.research paper · Sep 4, 2026
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