摘要
个性化推荐系统能够根据用户的兴趣偏好主动推荐他所需的资料。它的出现解决了人们寻找信息难的问题。数据预处理将原始的真实数据库转换成适于数据挖掘的挖掘数据库,为提高挖掘算法的效率,改善挖掘结果的效果打下了良好的基础。[1]
Personalized recommendation system can recommend information automatically according to users＇ interests. It solves the knottiness that people can not easily find the useful information. Data preproeessing is the key to get a results of good quality. In data mining, data preproeessing convert the original database into the mining database which is suitable for data mining. Hence, the algorithms of data mining can run effectively and the mining results can get a better display as well.
出处
《萍乡高等专科学校学报》
2007年第6期11-14,共4页
Journal of Pingxiang College
关键词
数据挖掘
个性化推荐
数据预处理
data mining
personalized recommendation
data preproeessing
