摘要
个性化借阅数据挖掘和推荐为提高图书馆服务的有效性和智能性提供了可能,将关联规则技术应用到个性化借阅服务中,通过对以往借阅信息的挖掘以产生借阅书目的关联规则来实现个性化信息推荐服务。同时,图书类别关联规则的发现,对于图书购买、图书排架和图书推荐都具有深刻意义。
The mining and recommendation of personalized circulation data provide the possibility of improving the effectiveness and intelligence of library service,and applying association rule techniques into personalized circulation service and the mining of previous circulation data can produce the association rules of circulated books and realize personalized information recommendation services.Meantime,the discovery of the association rules of books＇ categories has profound significance on books purchasing,bookshelves arrangement and books recommendation.
出处
《科技情报开发与经济》
2013年第18期21-22,25,共3页
Sci-Tech Information Development & Economy
基金
陕西省教育厅专项基金项目(项目编号:2010KJ174)
关键词
关联规则
图书借阅服务
数据挖掘
个性化推荐
association rule
circulation service
data mining
personalized recommendation
