一种基于用户层次信息的关联规则图书推荐系统

A Book Recommender System Based on User Hierarchy Association Rules

关联规则是数据挖掘的重要模式之一,有着极其重要的应用价值。由于其自身的优点,关联规则得到了迅速发展,并开始了广泛应用,然而传统的关联规则算法在应用中有很多的不足。因此本文提出了一种基于用户层次信息的关联规则图书推荐系统,实验结果表明,该算法能够有效减少运算量,并能提高推荐的准确度。

Association rule is one of the important modes in data mining and has a very important value.Because of its good quality,association rules is becoming the popular one and has used widely.However,the traditional algorithms of association rules have lots of limitation in practical applications.In this paper,a recommender system was presented based on multi-user association rules.Experiment result showed that this method could decrease the computation multiplications and improve the accuracy of the recommendation.