Taobin电商的Web数据挖掘关联规则研究

Research on association rules of Web data mining in Taobin E-commerce

网络信息的复杂性导致用户搜索时不能很好地表达自己的意图,从而会减少用户对此次浏览的购买欲望,为了对Taobin电商平台中的品牌、店铺和同类相关商品等信息进行聚合拼装,使整个商品详情页信息更加完整,更具吸引力,提出了Taobin电商的Web数据挖掘关联规则。主要研究了其关联规则中的关键技术,不仅能够更好的为用户提供相应的服务,同时也在一定程度上能提高用户对此次浏览的兴趣,从而大幅度提升商品的转化率。

The complexity of the network information causes the users to not express their intentions well, which will reduce the user’s desire for the purchase？ In order to assemble and assemble the information of the brand, shop and similar commodities in the Taobin platform, the whole information page information is more complete and more attractive？ The Web data mining association rule of Taobin business is proposed？ The key technology of the association rules is mainly studied, which can not only provide the appropriate service for the users, but also improve the interest of the user to this view to a certain extent, thus greatly improving the conversion rate of the goods？