| 基于数据挖掘的服装推荐系统研究 |
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| 引用本文： | 齐扬,朱欣娟. 基于数据挖掘的服装推荐系统研究[J]. 西北纺织工学院学报, 2010, 0(4): 438-443 |
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| 作者姓名： | 齐扬 朱欣娟 |
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| 作者单位： | 西安工程大学计算机科学学院,陕西西安710048 |
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| 基金项目： | 西安市科技局创新支撑计划项目（CXY1010（3）） |
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| 摘 要： | 为满足用户网上购物的个性化需要,针对用户自身特点,建立了服装推荐系统.以西服为例,将服装的主要特征分为领型、扣子、面料、颜色、款式等不同要素,并归纳了各要素的分类取值.在对服装的特征要素进行抽取分类的基础上,采用BDEU决策树算法,构筑了用户类别偏好模型,向用户提供了个性化的推荐服务.
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| 关 键 词： | 数据挖掘 电子商务 决策树 偏好模型 |
An apparel recommended system based on data mining |
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| QI Yang,ZHU Xin-juan. An apparel recommended system based on data mining[J]. Journal of Northwest Institute of Textile Science and Technology, 2010, 0(4): 438-443 |
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| Authors: | QI Yang ZHU Xin-juan |
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| Affiliation: | (School of Computer Science,Xi′an Polytechnic University,Xi′an 710048,China) |
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| Abstract: | The apparel recommended system for describing customer′s features is established to content with customer′s personalized needs.Main features of apparel was divided into collar,number of buttons,slits,fabric,color and style,etc.by taking suit as an example.On the basis of suit feature classification,the BDEU algorithm was used to build customer preference model and rules.This method can offer personalized suit recommendation service. |
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| Keywords: | data mining e-commerce decision tree preference model |
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