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Received:September 28, 2012 Revised:November 04, 2012
Received:September 28, 2012 Revised:November 04, 2012
中文摘要: 随着计算机信息技术的发展, 中医药行业大量的文献资料和数据库资源需要共享到Internet网上, 以方便专业人士进行查询搜索, 独特的中医药行业搜索引擎就是顺应这个需求而开发的. 文章中笔者结合自己的经验和体会, 提出了一种根据用户输入的查询词产生相关推荐词的方法. 该推荐词产生方法与其它的搜索引擎如谷歌、雅虎、百度不同, 结合了中医药行业搜素引擎与中医药行业中文分词的特点, 应用一种算法来统计推荐词之间的相关性, 用关系数据表方式对推荐词进行专门存储管理. 实践证明此方法能够及时、准确的生成推荐词集, 行业特征明显, 具有一定的创新性和推广价值.
Abstract:Along with the development of computer information technology, a large number of Traditional Chinese Medicine(TCM) literatures and database resources need to be shared to the Internet for search by professionals and the unique TCM industry search engine is developed to comply with such requirements. A new method for generating related query recommendations according to the user enquiry is proposed according to the features of the TCM industry, based on the author's experiences and understandings. Different from methods used by other search engines, the new method combines the features of the TCM industry search engine and the Chinese word segmentation of the TCM industry and uses algorithms to calculate the correlations between query recommendations and stores and manages such query recommendations in relation data tables. Practices indicate that such method generates accurate and industry-specific query recommendations promptly, and therefore has certain innovation and promotional value.
keywords: Traditional Chinese Medicine industry vertical search engine query recommendation Chinese word segmentation Web page weight
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基金项目:国家“十一五”重大科技支撑计划(2008BAI64B02)
引用文本:
蔡勇,刘美玲,李玫,胡豪.一种中医药行业搜索引擎的推荐词产生方式.计算机系统应用,2013,22(5):151-154,202
CAI Yong,LIU Mei-Ling,LI Mei,HU Hao.A Method to Generate Query Recommendations for Search Engine of the Traditional Chinese Medicine Industry.COMPUTER SYSTEMS APPLICATIONS,2013,22(5):151-154,202
蔡勇,刘美玲,李玫,胡豪.一种中医药行业搜索引擎的推荐词产生方式.计算机系统应用,2013,22(5):151-154,202
CAI Yong,LIU Mei-Ling,LI Mei,HU Hao.A Method to Generate Query Recommendations for Search Engine of the Traditional Chinese Medicine Industry.COMPUTER SYSTEMS APPLICATIONS,2013,22(5):151-154,202