文献类型：期刊文献

中文题名：面向服务行业的垂直搜索语义模型改进方法

英文题名：An Improvement Method of Vertical Search for Service Industry Based on Semantic Model

作者：潘丽芳[1];李慧[2];李菲[1]

第一作者：潘丽芳

机构：[1]长治医学院;[2]北京联合大学管理学院

第一机构：长治医学院,山西长治0460002

年份：2017

卷号：31

期号：3

起止页码：42-48

中文期刊名：山西师范大学学报：自然科学版

基金：北京市自然基金资助项目(9164028);长治医学院博士科研启动基金项目(BS15016)

语种：中文

中文关键词：垂直搜索引擎;语义模型;领域知识;过滤条件;搜索范围

外文关键词：vertical search engine; semantic model; domain knowledge; filter; search scope

摘要：为提高垂直搜索引擎中面向服务行业的页面搜索查准率,提出了一种语义模型的设计与实现方法.该模型以面向服务行业的垂直搜索引擎为研究对象,根据服务行业领域知识将查询词分成三种语义(品牌词、类别词、服务项目),针对三种语义设计差异化搜索方案;并改进了页面搜索排序方法.该语义模型首先通过识别查询词的类型,得到相应的过滤条件;然后由过滤条件限制搜索范围,去掉不相关的搜索结果;最终通过改进页面搜索排序算法,提高搜索准确率.实验结果表明,应用该语义模型得到搜索过滤条件,使用过滤条件限制搜索范围,搜索的正确率提高了2个百分点~7个百分点,有效提高搜索引擎的查准率,提升用户体验和工作效率,对其他领域或行业也有一定的借鉴意义.
To improve the precision of vertical search engine for service industry, we propose an improvement method based on the semantic model. The method aims at optimizing the search engine assisted by the features of the vertical search for service industry. Query words are divided into three semantic categories according to the domain knowledge of service industry. The three categories are brand words, class words and service items. A differentiated search scheme is designed based on the three semantics which improves the page search ranking. The corresponding filtering conditions are obtained firstly according to the type of the query words. Then the search scope is restricted to so as to remove irrelevant search results according to the filtering conditions. Search accuracy is improved by this page search sorting algorithm within method. The experimental results show that the correct rate of search is improved by 2 - 7 percentage using the present model, leading to enhanced search precision, user experience and work efficientcy.