软件
軟件
연건
SOFT WARE
2014年
4期
125-126,129
,共3页
个性化推荐%图书馆%标签%关联分析
箇性化推薦%圖書館%標籤%關聯分析
개성화추천%도서관%표첨%관련분석
Personalized recommendations%Library%Tag%association analysis
当前,图书馆的馆藏书籍越来越多,虽然引入了信息化的图书馆管理系统,提供了个性化推荐,为读者在海量图书信息中推送图书信息。但是随着用户的兴趣不断的变化,如何准确的为读者推荐图书,该问题却还没有有效的解决办法。本文依据该问题,设计了贪婪标签算法,使用户兴趣标签随着读者的兴趣逐渐演化,保证了推送信息的有效性。
噹前,圖書館的館藏書籍越來越多,雖然引入瞭信息化的圖書館管理繫統,提供瞭箇性化推薦,為讀者在海量圖書信息中推送圖書信息。但是隨著用戶的興趣不斷的變化,如何準確的為讀者推薦圖書,該問題卻還沒有有效的解決辦法。本文依據該問題,設計瞭貪婪標籤算法,使用戶興趣標籤隨著讀者的興趣逐漸縯化,保證瞭推送信息的有效性。
당전,도서관적관장서적월래월다,수연인입료신식화적도서관관리계통,제공료개성화추천,위독자재해량도서신식중추송도서신식。단시수착용호적흥취불단적변화,여하준학적위독자추천도서,해문제각환몰유유효적해결판법。본문의거해문제,설계료탐람표첨산법,사용호흥취표첨수착독자적흥취축점연화,보증료추송신식적유효성。
Currently, the library's collection of books more and more, despite the introduction of information-based library manage-ment system that provides personalized recommendation, push book information for readers in the mass book information. However, with the user's interests constantly changing, how accurate is recommended for readers of books, the problem still has not an effective solution. In this paper, based on the problem, design a greedy algorithm labels, allowing users to tag along with interest the reader's interest evolved to ensure the effectiveness of the push message.