摘要
滞销商品推荐在电子商务个性化推荐中占有重要地位。通过分析历史销售数据来预测和挖掘滞销商品及与之密切相关的中间商品,提出一种借助中间商品激励用户购买滞销商品的滞销商品推荐模型,并提出按照时间权重的中间商品兴趣度进行项目的个性化推荐。此推荐模型能够有效预测滞销商品,并根据客户特征进行个性化推荐,为滞销商品的推荐提供一种行之有效的方法。
Unmarketable goods recommendation plays an important role in E-commerce personalized recommendation.A recommendation model in terms of intermediate product is proposed.Intermediate product is in connection with the unmarketable goods closely,which is used to encourage purchase of unmarketable goods and is mined and predited by historical sales data analysis.A personalized recommendation method is proposed according to intermediate products interestingness with time weight.Using this model,we can predict the unmarketable goods effectively and provide personalized recommendation according to customer＇s character.
出处
《沈阳航空工业学院学报》
2009年第5期74-77,73,共5页
Journal of Shenyang Institute of Aeronautical Engineering
关键词
电子商务
个性化推荐
兴趣度
滞销商品推荐
中间商品
E-commerce
personalized recommendation
interestingness
unmarketable goods recommendation
intermediate product
