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随着网络的普及,多元化的媒体信息服务改变了人们获取信息的方式。应用Web2.0技术的多向化书目推荐系统,通过每个用户的浏览求知过程,以用户个人的思想脉络、浏览痕迹为线索,筛选出最适合的图书种类推荐给用户,创造属于用户个性化的网络图书目录。本文结合国内外网站实例,介绍该系统特色功能,分析系统现有的缺陷并提出改进建议,探讨了该系统与图书馆网络信息服务的结合。
With the popularity of the Internet, diversified media information services have changed the way people access information. The application of Web2.0 technology to multi-directional bibliographic recommendation system, through each user’s browsing knowledge process, with the user’s personal ideas, browsing traces as a clue, filter out the most suitable book types recommended to the user, to create a user-personalized Internet book catalog. In this paper, the examples of domestic and international websites are introduced, the features of the system are introduced, the existing defects of the system are analyzed and suggestions for improvement are proposed, and the combination of the system with the library network information service is discussed.