电脑开发与应用
電腦開髮與應用
전뇌개발여응용
COMPUTER DEVELOPMENT & APPLICATIONS
2013年
6期
46-48
,共3页
关联规则%Apriori 算法%图书推荐
關聯規則%Apriori 算法%圖書推薦
관련규칙%Apriori 산법%도서추천
association rules%priori algorithm%books recommendation
为了提高图书的借阅率，满足读者的个性化需求，提出使用关联规则挖掘技术。当读者借阅某本图书时，自动从海量图书中找到与该图书相关的书籍推荐给读者。实践证明该方法能减少读者寻找相关图书的时间，达到个性化推荐的目的。
為瞭提高圖書的藉閱率，滿足讀者的箇性化需求，提齣使用關聯規則挖掘技術。噹讀者藉閱某本圖書時，自動從海量圖書中找到與該圖書相關的書籍推薦給讀者。實踐證明該方法能減少讀者尋找相關圖書的時間，達到箇性化推薦的目的。
위료제고도서적차열솔，만족독자적개성화수구，제출사용관련규칙알굴기술。당독자차열모본도서시，자동종해량도서중조도여해도서상관적서적추천급독자。실천증명해방법능감소독자심조상관도서적시간，체도개성화추천적목적。
At present, many readers are at a loss how to find the related books among mass of books in the university library when they want to borrow a certain book. In order to improve the rate of books borrowing and meet personalized demand of readers, this paper uses Mining Technology of Association Rules to find out and recommend the related books with a certain book to the reader, so that the time for finding related books can be reduced and the satisfactory degree to the library can be raised.
