分词技术在电子商务信息查中的应用.doc

分词技术在电子商务信息查询中的应用 摘 要 通过近几年的发展，电子商务已经离我们不再遥远。电子商务上的信息也在急剧膨胀，在这海量的信息中，各类信息混杂在一起，要想充分利用这些信息资源就要对它们进行整理，如果由人来做这项工作，已经是不可能的，而如果面对中文信息不采用分词技术，那么整理的结果就过于粗糙，而导致资源的不可用，如果是查询中分词信息多，那么结果就会令人不满意。通过引入分词技术，就可以使机器对海量信息的整理更准确更合理，那么“制造业和服务业是两个不同的行业”中“和服”不会被当做一个词来处理，那么检索“和服”当然不会将它检索到，使得检索结果更准确，效率也会大幅度的提高。 所以中文分词的应用会改善我们的生活，使人们真正体会到科技为我所用。本文提出了电子商务行业有哪些信誉好的足球投注网站引擎的概念，通过对通用有哪些信誉好的足球投注网站引擎技术进行分析，结合电子商务行业对有哪些信誉好的足球投注网站引擎的需求提出需要改进的部分，此外，讨论了中文分词算法，结合电子商务行业的特点对分词算法进行描述，和阐述了电子商务查询中分词技术的应用并进行了分析。 关键词：有哪些信誉好的足球投注网站引擎 中文分词 电子商务Segmentation information in e-commerce application a query Abstract Through years of development, electronic commerce is no longer far away from us. Information on e-commerce is also rapidly expanding, in this mass of information, the kinds of information mixed together, in order to take advantage of these information resources is necessary to organize them, if the person do the job, has not possible, and if the face of Chinese word segmentation information is not used, then the order of the results to be too rough, which led to resources not available, check if it is carved the word information and more, then the result will be unsatisfactory. Through the introduction of word segmentation, we can make the collation of the machine on the mass of information more accurate and reasonable, then, are two different manufacturing and service industries in the Kimono will not be treated as a word processing, then search kimono Of course it will not be retrieved, making search results more accurate and efficie will be greatly enhanced. Therefore, the application of Chinese word segmentation to improve our lives, so people really understand science and technology for our use. In this paper, the concept of e-commerce search engine, through the analysis of general search engine technology, combined with e-commerce industry, the demand for search engine part to the need for improvement, in addition, discussed the Chinese word segmentation algorithm and the characteristics of e-commerce segmentation algorithm is descri