摘要
针对传统的关联规则推荐方法中可能出现的关联规则数量较少的缺点,提出了一种改进的关联规则个性化推荐方法。该方法首先利用商品的属性信息从历史销售数据库中挖掘商品属性间的关联规则作为规则库,然后利用规则库中的规则计算不同商品的推荐价值,最后得到若干推荐价值靠前的最优商品推荐给顾客。
An improved method for personalized association rules recommendation is presented aim at the lack of association rules in traditional method.In this method,knowledge base is made up with association rules between attributes of commodity which are generated according to the historical database and attributes attached to each commodity,then calculate recommended value for each commodity,lastly recommend some commodities with highest recommended value.
出处
《微计算机信息》
2012年第9期436-438,共3页
Control & Automation
关键词
关联规则
推荐价值
个性化推荐
Association Rules
Recommended Value
Personalized Recommendation
