CAJ | 학술논문

面对数字图书馆海量的文献资源，如何方便快捷地为读者提供满足其个性化需求的信息是图书馆服务所面临的问题，推荐技术是解决该问题的一个有效工具。本文阐述了数字图书馆个性化推荐服务的几项关键技术，包括读者兴趣建模、推荐资源对象建模以及资源推荐模式。最后提出了数字图书馆实施资源推荐服务的重难点以及未来的发展趋势。
면대수자도서관해량적문헌자원，여하방편쾌첩지위독자제공만족기개성화수구적신식시도서관복무소면림적문제，추천기술시해결해문제적일개유효공구。본문천술료수자도서관개성화추천복무적궤항관건기술，포괄독자흥취건모、추천자원대상건모이급자원추천모식。최후제출료수자도서관실시자원추천복무적중난점이급미래적발전추세。
Facing massive literature information resources of digital library, how to provide personalized information serv-ice for the reader quickly and conveniently is the problem of the library services.The recommendation technology is an effective tool to solve this problem.The paper discusses several key technologies of digital library personalized recommendation service, including the reader interest model, recommended resources model and resource recommendation model.Finally, the paper proposes focuses and difficulties of implementation digital library recommendation services and future trends.