A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination

Hongzhi Kuai
Hongzhi Kuai
Jianzhuo Yan
Jianzhuo Yan
Yongchuan Yu
Yongchuan Yu
Haiyuan Wang
Haiyuan Wang
Ning Zhong
Ning Zhong

WI, pp. 1253-1259, 2017.

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Abstract:

The query and selection of scientific literatures are knowledge driven. Researchers regard public literature resources as target knowledge sources and use their own domain knowledge to explore in them. However, existing knowledge-driven methods of literature recommendation mainly focus on morphological matching and cannot effectively reso...More

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