电子商务中关联推荐算法的应用研究

The applied research of association recommendation algorithm in e-commerce

电子商务推荐系统是电商企业提高销售业绩,增加竞争力,有效保留住顾客采用的一种技术手段。该文根据淘宝交易数据,基于关联规则推荐的方法设计推荐系统。运用Apriori算法进行二项关联规则挖掘,用利润作为约束条件,实现商品的二项关联推荐,以缩短客户找到目标商品的路径。应用表明,在客户信息不完整的情况下关联推荐算法是一种可行的策略。

E- commerce recommendation system is a technical method for electronic commerce enterprises to improve sales performance,competitiveness and retaining customers. This paper designed a recommendation systems on association rules according to Taobao＇s transaction data. The Apriori algorithm was used to mine two- term association rules by the constraint of profits to recommend commodities,which shortens customers＇ route in searching target commodities. The performance showes the association recommendation algorithm is a useful method.