摘要
着眼于与商品相关的对顾客购物行为有决定性影响的信息,通过商品类别、基本信息、特征属性以及评级信息的提取,构建了商品信息模型;最终计算出商品特征向量,显现出较好的推荐效果,可提高电子商务推荐的及时性和准确性。
This paper pays attention to product information which affects customers' shopping behaviordefinitively, Based on the extraction of product categories, basic information, feature attribute and evaluationinformation, it constructs product's information model. With the purpose of improving the promptness and ve-racity of the recommendation systems for E-Commerce, it calculates product feature vector and shows superbrecommended effect finally.
出处
《南通职业大学学报》
2015年第2期101-104,共4页
Journal of Nantong Vocational University
关键词
电子商务
商品信息模型
商品推荐
E-Commerce
product information model
product recommendation