山东大学学报(理学版) ›› 2016, Vol. 51 ›› Issue (5): 94-101.doi: 10.6040/j.issn.1671-9352.1.2015.E15
谭红叶1,要一璐1,梁颖红2
TAN Hong-ye1, YAO Yi-lu1, LIANG Ying-hong2
摘要: 将关键词作为作者兴趣标识,利用论文文本中关键词之间的同义关系、上下位关系和共现关系构建成知识脉络,并结合基于内容过滤的方法对作者进行科技论文推荐。该方法将关键词向量之间的平均最大语义相似度作为作者和论文基于知识脉络的相似度,考虑了同义和上下位关系两种语义关系,并在此基础上加入了关键词的共现关系进行论文推荐。实验结果表明该方法的推荐准确率和召回率明显提升。
中图分类号:
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