为解决情报采集过程中竞争企业名录的更新问题, 提出了一种基于网络的竞争企业名录自动更新方法。该方法首先利用产品名称从企业索引中检索出相关的企业名列表, 采用LCS(Longest Common Substring)算法抽取企业名模式, 以“产品名+企业名模式”的形式重构查询。然后, 使用搜索引擎进行网页搜索, 再利用贝叶斯分类算法对搜索的网页过滤, 将过滤后的企业信息更新到企业名录中。实验结果显示, 系统P@10、P@20、P@30分别为73.4%, 68.4%, 65.2%, MAP@10、MAP@20、MAP@30分别达到66.2%, 58.9%, 52.5%, 结果说明该方法可以有效的实现竞争企业名录的自动更新。
We propose a Web-based approach to solving the update problem of competitive business directory in the process of intelligence collection in this paper.Firstly, the approach retrieves related business list from business index by using product names, and adopts business name pattern extraction approach based on LCS algorithm., and we construct a new query in the form of product and business name pattern.Then, we obtain the pages by search engine, and use bayes classifier algorithm to filter the pages.We update the business information filtered into the business directory.Experiment results show that P@10, P@20, P@30 are 73.4%, 68.4%, 65.2%, and MAP@10, MAP@20, MAP@30 are 66.2%, 58.9%, 52.5%, respectively.The result shows that the approach can effectively realize automatic update of competitive business directory.
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