农资产品电子商务销售数据关联分析

Associations Mining on Agricultural Production Supplies Dataset from e-Commerce Website

构建面向电子商务领域的个性化推荐系统,需要依据电子商务数据所隐含的信息为用户兴趣度建模服务。文章以某电子商务网站为目标,利用关联分析模型,通过对网站中农资产品销售数据进行频繁模式挖掘和关联规则挖掘,以寻找和揭示用户与用户、用户与商品以及商品与商品之间的关联关系,包括用户购买商品的时间关系、有相似购买习惯的用户之间的关系、受欢迎的商品之间的关系以及用户的购买商品的喜好关系等。

It is necessary to mine information hidden in e-Commerce dataset to model user interest for personalized recommendation system in e-Commerce domain.We use association analysis model,mining frequent pattern and association rules of agricultural production supplies sales data in an e-Commerce website,in order to reveal the relationship among the users,the commodities,the user and the commodities.The relationship includes the time rules of buying,the pattern between users with similar buying habits,the popular commodities rules,the user preferences for buying, etc.