政府

发改委

铁道部

公安部

安全部

国家知识产权局

信产部电信研究院

首都之窗

甘肃省政府

上海市信息中心

上海市徐汇区政府

上海市发改委

上海市小企业办

上海网宣办

青岛外宣办

电信

中国移动

电讯盈科

辽宁移动

江苏移动

湖北移动

河南联通

北京网通

金融

中国人民银行

银监会

信达资产

上海证券交易所

中保财险

能源

中海油

国家电力

媒体

新华社

CCTV

中国日报

中国华闻投资控股有限公司

上海证券报

外文出版局

企业

国航

朗讯科技

施耐德电气

济南钢铁

611所

General Motors

BP

Ford Motor Company

AstraZeneca

HSBC Investment Bank

DaimlerChrysler

CNN

General Electric

US Senate

Credit Suisse First Boston

Volkswagen

Hutchison 3G

UK Department of Trade & Industry

Credit Lyonnais

Siemens

AstraZeneca

Philip Morris

Bloomberg

Lloyds

Verizon

Sun Microsystems

AT&T

XEXCO

FIAT

US Department of Defense

Nestle

HP

US State Department

HSBC

General Dynamics

Hewlett Packard

US State Department

ABN Amro

Ingersoll-Rand

UBS Warburg

US State Department

Nestle

Nestle

Merrill Lynch

New York Stock Exchange

The Economist

France Telecom

New York Life Insurance

Boeing

Lafarge

Safeway

People's Republic of China's

Pfizer

Ministry of Agriculture

Nordea

Lloyds

Tesco

Pfizer

GlaxoSmithKline

Philips

The Coca Cola Company

Nestle

XEXCO

Royal & SunAlliance

Hutchison 3G

Intel

Sybase

BBC

Sprint

New York Life Insurance

Canon USA

T-Mobile

Novell

Ericsson

EDS

Philip Morris International

Royal & SunAlliance

Novartis

Credit Lyonnais

Sun Microsystems

British American Tobacco

Norsk Hydro

AstraZeneca

Henkel

Skanska

BP

BAE Systems

Kodak

The Royal Mail Group

US Department of Defense

Henkel

Bank of Montreal

MOL

Lloyds

Danske Bank

General Motors

BMW

Kronos Corporation

Fujitsu Technology Services

Ericsson

Zurich Financial Services

Accenture

Halliburton

BBC

Blue Cross/Blue Shield of Massachusetts

T-Mobile

Channel 4 Corporation

VHA

HM Revenue & Customs

Burges Salmon

Motorola

Sun Microsystems

British Telecom

Ferrari

Deloitte & Touche

PA Consulting

AT&T

US Army

UK Department of Trade & Industry

EMC Corporation

US Department of Commerce

Encana Corporation

ABN Amro

IEEE

Swiss Army

Hewitt Associates LLC

Hewlett Packard

Britvic Softdrinks

HEALTHvision

Hutchison 3G

Paramount

Lexmark

Hutchison 3G

US Department of Defense

JD Edwards

Ingersoll-Rand

AstraZeneca

General Electric

Macmillan Publishing

PricewaterhouseCoopers

Vodafone Omnitel

Nomura

US State Department

Reed Elsevier

Dow Chemical Company

Siemens Power Generation

Texas Instruments

XEXCO

Forrester Research

McData

Wall Street Journal

Lloyds

AstraZeneca

NASA

Nestle

Philips

SCA

Reuters

ITN

IBM NICA

Forbes.com

Nissan North America, Inc.

Toyota Motor

The McGraw-Hill Companies

Fox Sports

Society of Petroleum Engineers

Ericsson

US Department of Energy

European Commission

Telecom Italia

Harrah's

HSBC

HSBC

AXA

Sybase

General Motors

Napster

Philips

Oracle

Compuware

Olympus

ARM

BBC

Taylor & Francis

Federal Express

Nissan Motor

Milward Brown Precis

Federal Government of Canada

UK Home Office

HM Revenue & Customs

Hutchison 3G

Harvard Business School

BP

Britvic Softdrinks

MOL

Siemens

The McGraw-Hill Companies

Macmillan Publishing

Allianz Life Insurance Co

Swiss Army

Parliament of Singapore

VMS

XEXCO

Singapore Police Force

Siemens

US Department of Commerce

UK Department of Trade & Industry

Sony Music

GSA Advantage!

AstraZeneca

Kaiser Permanente

AstraZeneca

Sun Microsystems

Stanford Business School

Johns Hopkins

Philips

Wachovia

Standard Life Insurance

Raytheon

AstraZeneca

Commerzbank

Allstate Insurance

State of Washington

Danske Bank

Napa Valley County

Texas Department of Transportation

AT&T

American HomePatient

TIBCO

BP

Sharper Image

Xerox

Interwoven

Hutchison 3G

Philips

General Motors

America Online

Hutchison 3G

Lockheed Northrop Grumman

Dow Chemical Company

Draeger Medical

General Motors

Vodafone Omnitel

Sutter Health

Kenyan AIDS Clinic

University of Washington

Hewlett Packard

State of Minnesota

World Wildlife Fund

    公司    
    技术    
    产品    
    功能    
    解决方案    
    服务    
    行业应用    
    客户    
    OEMs    
    新闻和市场活动    
  

相关度排序

  在处理各种类型的查询时,IDOL 会利用建立在香农信息论和贝叶斯概率论之上的精密算法来依照统计上的相关程度对返回的文档进行权重和排序。在此过程中,系统将利用生成索引时为各种概念动态计算出的理论值来评估内容的相关度。相关度可以视为查询文字和结果文档文字在概念上的吻合度。此外,IDOL 还允许管理员对查询结果的相关度进行如下的调节:

建立对字段处理 - 允许用户通过 IDOL Server 的配置文件,根据指定字段中的词语与查询词语匹配的情况提升结果的相关度百分比。
使用 BIAS - 用户可以使用 BIAS 字段运算符来根据特定字段的值与指定数值的接近程度提升查询结果的相关度百分比。
使用权重调整 - 用户可以倍增特定查询词的权重数,这样与这些查询词匹配的结果就会得到较高的相关度。

主要优点

通过排序将更符合用户预期的结果提前,从而提升用户体验
管理员可以针对业务需求和员工角色自定义相关度
正确实施的相关度排序可以提升效率并降低成本