摘要
现存商品推荐模型普遍对时事新闻反应滞后,提出在推荐过程中引入新闻因子,建立具有时事新闻关注点的商品推荐模型,实现时事新闻指导商品推荐,把客户对时事新闻的关注延伸到商品销售领域。实验结果表明应用该商品推荐模型产生的推荐商品集与时事新闻关键词具有较高的相关度,体现了较强的新闻性,可推广到电子商务中相关的个性化服务。
Most of the existing commodity recommendation models are behind the current news reflecting the market. This article proposes a recommendation model that introduces the news factor into the recommendation process, in order to set up a commodity recommendation model with the news concern so as to realise recommending the commodities under the guidance of current news and to extend the customers＇ attention on current news to commodity sales field. Experimental results demonstrate that the commodity set generated by this recommendation model has higher degree of association with the news keywords, which embodies a stronger news nature, and can be applied in related personalized services in E-Commerce.
出处
《计算机应用与软件》
CSCD
2009年第10期162-165,共4页
Computer Applications and Software
关键词
商品推荐
新闻因子
匹配度
RSS新闻订阅
分词
which embodies a stronger news nature
and can be applied in related personalized services in E-Commerce.Keywords Commodity recommendation News factor Matching degree RSS news subscription Word division
