2 文档频度(Document Frequency,DF) 33-34 3.3.3 反比文档频数权重评价方法(TermFrequencyInverse Document Frequency,TFIDF) 34 3.3.4 互信息(Mutual Information,MI) 34-35 3.3..
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A kind of improved weighting TFIDF algorithm is proposed based on the page relevant weight and the TFIDF algorithm.
将页面相关性权重与TFIDF算法相结合,提出了一种加权TFIDF算法。
Make use of the technology of information filtering based on TFIDF to filter the results returned by the searching engine.
采用了基于加权向量空间法的信息过滤技术,对成员搜索引擎返回的结果进行过滤。
Moreover, S-TFIDF algorithm is as efficient as TFIDF algorithm, which implies it is competent for large scale text categorization task.
同时,S - TFIDF算法保持了TFIDF算法的高运行效率,适合大规模的文本分类任务。
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