期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：5
页码：475-484
DOI：10.14257/ijhit.2016.9.5.38
出版社：SERSC
摘要：As the rapid development of integration of informatization and industrialization (IoII), information overload become a serious problem in the knowledge platform for IoII. To address this issue, this paper introduces a hybrid framework based on the assessment system of IoII and user learning behavior. First, using the assessment specification on IoII for industrial enterprises, we establish the similarity model of IoII; then, the similarity model of user behavior is built based on three kinds of learning behaviors in the knowledge platform; at last, after studying the advantages and disadvantages of the two models, this paper proposes a linear fusion framework combining both models. With several experiment conducted, we get the optimal parameters in the framework, and the experimental results show that the proposed framework can achieve the better recommendation quality.
