摘要
针对大多数图书馆管理系统中的个性化服务中的新书推荐只是定时将新到馆的图书罗列出来让读者浏览进行推荐,推荐效果差的问题。本文在比较三大常用的推荐技术的优缺点后,采用基于聚类分析的推荐算法推荐新书,并具体给出实现的方法。
New Books in the personalized service in most of the library management system is just timing the New Museum of books listed here allow readers to browse recommended,recommended poor.Compare the advantages and disadvantages of three commonly recommended techniques,the use of a recommendation algorithm based on cluster analysis recommended the book,and given the specific implementation method.
出处
《计算机光盘软件与应用》
2012年第3期35-36,共2页
Computer CD Software and Application
关键词
协同过滤推荐
内容推荐
关联规则推荐
聚类分析
Collaborative filtering recommendation
Content Recommendation
Recommendation association rules
Clustering analysis
