基于用户画像的鞋靴款式推荐模型是一种通过分析用户多维特征实现个性化推荐的数据驱动系统。该模型首先构建动态用户画像，整合用户的消费行为（历史浏览、购买记录、价格偏好）、风格倾向（运动/休闲/正装偏好）以及社交互动数据（收藏、评论、分享）等多维度标签。采用机器学习算法对用户特征与鞋款属性（材质、跟高、颜色、功能等）进行匹配计算，通过聚类分析识别用户群体偏好模式，结合时序模型捕捉季节性和潮流趋势变化。

杭州数据交易所2026-08-04 更新40

Data and Code for: Discounts and Deadlines in Consumer Search

消费者搜索行为

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We present a new equilibrium search model where consumers initially search among discount opportunities, but are willing to pay more as a deadline approaches, eventually turning to full-price sellers.

ICPSR2020-01-01 更新80

A Revealed Preference Approach to Identification and Inference in Producer-Consumer Models

消费者搜索行为

价格搜索成本

This article provides a new identification result for a large class of models in which consumers participate in production. I show that consumer preferences are necessary and sufficient to identify pr

Taylor & Francis Group2025-01-16 更新60

Most searched fashion products on Google in Sweden 2023, by search volume

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