为解决这一问题，本文提出根据链接上下文信息得到主题相关度预测，并将其融合到主题重要性的计算中。
To solve this problem, we suggest calculating topical relevance prediction according to link context and integrating it into the calculation of the topical importance.
因子分析结果表明量表的结构与理论结构基本符合，量表得分与产后1月、2月婴儿喂养方式的显著相关性表明预测效度也较满意。
The scale had satisfied constructive validity and can predict the infant feeding methods of these mothers at the 1 stand 2 nd month of postpartum .
结果表明， 低沉度模型的预测结果与主观评价结果具有很高的相关性， 从而证明了所提出模型的有效性。
Results indicate a strong correlation between model predicted and subjective data, and therefore proved the devel-oped model an effective index for subjective low-frequency perception.
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