基于用户偏好的多特征融合个性化图书推荐模型被引量：2

Multi-feature Personalized Books Recommended Model Based on User Preferences

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摘要随着图书馆图书数量的增加,读者无法快速获取自己所需资源。针对数字图书馆无法为用户提供准确个性的图书推荐服务的问题,通过分析个性化推荐技术,构建了一种基于用户偏好的个性化图书推荐模型,并进行了系统的研究。最后通过试实验验证其模型的有效性。 With the increase of the number of library books, readers can not quickly get their required resources. Aiming at the problem that the digital library can＇t provide users with accurate personality book recommendation service, through the analysis of personalized recommendation technology, a personalized recommendation model is constructed based on user preferences, and the system is studied. Finally, the test results prove the effectiveness of the model.

作者许庆勇江顺亮段隆振

机构地区南昌大学旅游规划与研究中心南昌大学信息工程学院

出处《价值工程》 2015年第10期248-250,共3页 Value Engineering

基金国家社会科学基金<发展红色旅游产业若干重要问题研究>资助(项目编号10BJY090) 江西省高校人文社科基金<信息时代下江西省旅游企业运行机制的创新研究>资助(项目编号JC1328)

关键词用户偏好个性化图书推荐模型 user preference personalized books recommended model

分类号 TP391.3 [自动化与计算机技术—计算机应用技术]

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参考文献7

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