基于情境感知的高校移动图书馆知识资源推荐研究  

Research on the Recommendation of Knowledge Resources in Mobile Libraries of Universities Based on Context-aware

作　　者：张潇璐[1] 赵学敏[2] 刘璇[1] ZHANG Xiao-lu;ZHAO Xue-min;LIU Xuan(Yunnan University Library,Kunming 650091,China;Yunnan University Archive,Kunming 650091,China)

机构地区：[1]云南大学图书馆,云南昆明650091 [2]云南大学档案馆,云南昆明650091

出　　处：《情报科学》2020年第1期48-52,92,共6页Information Science

基　　金：云南省教育厅科学研究基金项目“Drupal开源软件在云南高校档案信息网站建设中的应用研究”(2016ZZX024)

摘　　要：【目的/意义】基于情境感知的个性化推荐技术引起了广泛关注,成为新的研究热点,本文针对高校移动图书馆提出一种基于情境感知的知识资源推荐模型.【方法/过程】融入情境因素,通过基于改进受限玻尔兹曼机的协同过滤算法来实现读者所处移动情境下的知识资源推荐。并通过真实数据集进行实验验证。【结果/结论】提出的基于情境感知的知识资源推荐模型和算法,具有较高的准确度和效率,能够有效解决移动环境下高校读者个性化知识资源推荐问题'【Purpose/significance】The personalized recommendation method based on context-aware has attracted wide at・tention and become a new research hotspot.[Method/process]This paper proposes a recommendation model of knowledge resources based on context-aware and presents a collaborative filtering recommendation algorithm based on an improved Restricted Boltzmann Machine with contexts to get the recommended resource in the user's mobile situation.[Result/conclusion] The experiments are conducted by real data set,and the result shows that the proposed recommendation method has higher accuracy and better recommendation effect.The proposed model and algorithm based on con text-aware can effectively solve the personalized recommendation problem for users of university in a mobile environment.

关 键 词：个性化推荐 情境感知 受限玻尔兹曼机 知识资源 

分 类 号：G250.7[文化科学—图书馆学]