Article(id=1242128868933440469, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242128855574582174, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2012.14.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1309795200000, receivedDateStr=2011-07-05, revisedDate=1332172800000, revisedDateStr=2012-03-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1337270400000, onlineDateStr=2012-05-18, pubDate=1337270400000, pubDateStr=2012-05-18, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1337270400000, onlineIssueDateStr=2012-05-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774076199989, creator=sys-migrate, updateTime=1774076199989, updator=sys-migrate, issue=Issue{id=1242128855574582174, tenantId=1146029695717560320, journalId=1146031591421210625, year='2012', volume='30', issue='14', pageStart='3', pageEnd='95', issueExtLink='null', onlineDate='null', pubDate='1337270400000', pubDateStr='2012-05-18', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774076196805, creator='sys-migrate', updateTime=1774076196805, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=49, endPage=54, ext={EN=ArticleExt(id=1242128874818044531, articleId=1242128868933440469, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Evaluation System for Chinese Search Engines Based on the AHP-TOPSIS, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=As search engines are playing a more and more important role in information activites, the related evaluation methods are an urgent issue. According to the features of search engines, based on a wide review of related literature both at home and abroad, the paper proposes to use the qualitative and quantitative analysis method for filtering the established indexes, and 13 evaluation criteria are established in 3 categories which are the index database, the retrieval effects, and the user friendliness. The weights of these evaluation criteria are calculated by Analytic Hierarchy Process based on the index value of TOPSIS. A complete evalution system is built and then several Chinese search engines are selected as the objects to use the Technique for Order Preference by Similarity to obtain an Ideal Solution for the final evaluation results. The paper discusses what should be done to improve the search engines in the future., authors=FANG Xi¹, LI Na², GE Yuefeng¹, authorsList=FANG Xi;LI Na;GE Yuefeng, authorCompany=1. Shanghai Institute of Technology, Shanghai 201418, China;2. Department of Industrial Engineering of Shanghai Jiaotong University, Shanghai 200240, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=btPRL20K4hALGD7H5YYkvw==, pdfFileSize=1223911, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242128872599257704, articleId=1242128868933440469, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于AHP与TOPSIS方法的中文搜索引擎评价体系, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=随着搜索引擎在信息化生活中的指导作用越来越强,建立完整的评价体系已经成为搜索引擎优化的基础。本文从搜索引擎评价体系的现状入手,结合搜索引擎特点,采用定性和定量相结合的分析方法,排除相关性高的指标,确定最终索引数据库性能、检索效果、用户便利度三大类13个评价指标。在此基础上,运用基于比例标度的层次分析法(Analytic Hierarchy Process,AHP)构建层级结构,借鉴专家意见确定评价指标的权重;结合TOPSIS法(Technique for Order Preference by Similarity to an Ideal Solution)进行评价指标数值的规范化处理并排序计算,构建了较为完整的评价体系。选择四大热门中文搜索引擎作为评价对象,进行实证分析,结论表明,本文所述评价指标体系和方法思路可行,有较强可操作性和指导作用。, authors=方曦¹, 李娜², 葛月凤¹, authorsList=方曦;李娜;葛月凤, authorCompany=1. 上海应用技术学院,上海 201418;2. 上海交通大学工业工程系,上海 200240, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=vn3FSMw6ZoD479N1aGHSww==, pdfFileSize=1223911, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=null, 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