用上下文权重度量半结构化文档的相似度

Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2006-08-06 DOI:10.1145/1148170.1148334

Christopher C. Yang, Nan Liu

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引用次数: 5

摘要

在这项工作中，我们研究了基于扩展向量空间模型的以文本为中心的XML文档的相似性度量，该模型同时考虑了文档内容和结构。基于基准的实验结果表明，所提出的度量比忽略XML文档结构知识的基线具有更好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Measuring similarity of semi-structured documents with context weights

In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimental results based on a benchmark showed superior performance of the proposed measure over the baseline which ignores structural knowledge of XML documents.

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Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

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