CoMiner:从网络中挖掘竞争对手的有效算法

Sixth International Conference on Data Mining (ICDM'06) Pub Date : 2006-12-18 DOI:10.1109/ICDM.2006.38

Rui-gang Li, Shenghua Bao, Jin Wang, Yong Yu, Yunbo Cao

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引用次数: 34

摘要

本文试图完成一项新的任务，即从网络中挖掘关于一个实体(如公司、产品、个人)的竞争信息。提出了一种名为“CoMiner”的算法，该算法首先提取一组输入实体的比较候选项，然后根据可比性对它们进行排序，最后提取竞争字段。实验结果表明，该算法能有效地描绘出给定实体竞争关系的全貌。

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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CoMiner: An Effective Algorithm for Mining Competitors from the Web

This paper attempts to accomplish a novel task of mining competitive information with respect to an entity (such as a company, product, person) from the web. An algorithm called "CoMiner" is proposed, which first extracts a set of comparative candidates of the input entity and then ranks them according to the comparability, and finally extracts the competitive fields. The experimental results show that the proposed algorithm drafts a complete picture of competitive relation of a given entity effectively.

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Sixth International Conference on Data Mining (ICDM'06)

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