An Academic Literature Recommendation Method Based on Disciplinary Heterogeneous Knowledge Network

Abstract

Abstract: In academic research, it is important to improve the efficiency and accuracy of the author’s citation of academic literature. Based on the construction of the heterogeneous knowledge network model, the paper constructs the author-document correlation matrix by means of the meta-path theory and the DPRel correlation metric algorithm, and then realizes the academic literature recommendation based on the relevance ranking. Finally, the effectiveness of the method is proved by empirical research.

Key words: Academic literature recommendation, Subject heterogeneous knowledge network, Metapath, DPRel

Zhu Xiang, Zhang Yunqiu, Hui Qiuyue. An Academic Literature Recommendation Method Based on Disciplinary Heterogeneous Knowledge Network[J]. Libraly Journal, 2020, 39(8): 103-110.

References

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