搜索引擎的评价标准及方法研究

介绍了互联网搜索引擎目前常见的比较研究方法及评价标准，对现行搜索引擎评价标准及方法中的不足进行了分析研究，提出了一些有利于搜索引擎评价标准及方法改进的建议。     

搜索引擎的定性、定量评价研究与合理选择

目前国外出现了一些专门评价网络信息资源的站点，对于搜索引擎的评价主要体现在对数据库资源的评价和对搜索引擎性能的评价上。本文从搜索引擎评价的必要性、定性评价、定量评价和合理选择等方面进行分析与探讨，希能促进搜索引擎改进和中文搜索引擎的进一步发展。     

国内医学搜索引擎的现状及发展对策

通用搜索引擎没有对医学专业信息进行优化处理，不适合检索专业化的医学信息。因此，为了适应用户需要，加强对医学专业搜索引擎的研究是十分必要的。本文指出了国内医学搜索引擎存在的问题，提出了中文医学搜索引擎改变现状、快速发展的几点对策。     

基于搜索引擎的中文文本检索效果比较研究

提出了对搜索引擎比较研究的方法,并设计了一组实验,对4大搜索引擎（百度、谷歌、雅虎、MSN）进行中文文本检索的实验,通过数据分析,评价各个搜索引擎的检索效果。     

搜索引擎网站用户忠诚度影响因素的研究模型

在前人相关研究的基础上,提出了一个搜索引擎网站用户忠诚度影响因素的研究模型,分析了搜索引擎网站用户忠诚度影响因素主要包括可用性、知名度、信任、满意度和信息检索模型评价等,此外,用户对搜索引擎的熟悉度对用户的信息获取行为也起到了重要的作用。     

医学搜索引擎的分析与比较研究

本文以HealthWeb、OMNI等10种医学搜索引擎为研究对象，从对医学网络信息资源的收集的方法、评价与选择的标准、加工和组织的方法、检索功能、检索结果的显示、数据库的维护等方面进行比较研究，分析了医学搜索引擎在组织医学网络信息资源上的特点。     

个性化智能化搜索的竞争现状及发展前景

本文对当前搜索引擎的两大竞争焦点：RSS技术和桌面搜索模式进行了全面的研究，对个性化智能化搜索引擎的发展前景及相关技术进行了阐述。     

国内可视化搜索引擎研究进展:架构体系与关键技术

本文介绍了可视化搜索引擎内涵、核心内容和研究框架,并从架构体系、关键技术两方面阐述了国内可视化搜索引擎研究进展。     

基于文献计量的我国搜索引擎研究现状和热点分析

运用文献计量的方法对我国搜索引擎领域的相关文献进行多角度的定量和定性分析,明晰搜索引擎研究领域的主要研究机构、核心作者和核心期刊,并通过论文关键词和主题分析,发现目前的研究热点主要集中于4个方面:(1)搜索引擎的基本原理和关键技术;(2)元、垂直、个性和智能等4种搜索引擎研究;(3)搜索引擎的应用及商业盈利;(4)搜索引擎相关的知识产权等法律问题4个方面。     

基于AHP的搜索引擎评价方法研究

搜索引擎作为科技时代的信息地图,已逐步升级到搜索引擎优化的阶段.而搜索引擎的评价方法研究作为反映搜索引擎优化的一个重要侧面自然引起了科学领域的高度关注.然而人们对信息检索的高要求同时也给搜索引擎的评价带来了困难.在借鉴前人研究的基础上,通过对搜索引擎的发展现状的探讨,借助层次分析法来确定各指标权重,综合考虑技术与用户双层面的因素,提出一具有科学性、合理性、可探作性的搜索引擎评价方法.     

搜索引擎搜索结果的评价技术

搜索引擎根据用户查询在自己的索引数据库中进行查找，并根据相关性分析将查询结果返回给用户。本文就传统信息检索系统的性能效率评价技术,针对Internet的特点，对搜索引擎搜索结果的评价进行了讨论。     

基于AHP的旅游搜索引擎评价分析

在简要介绍旅游搜索引擎基本概念和特点的基础上,运用层次分析法建立以流量速度指标、检索范围及功能指标、服务功能指标为一级指标,下设15个二级指标的旅游搜索引擎评价指标体系,探讨合理分配指标权重的方法,指出各指标的数据来源,并用于对目前国内主要旅游搜索引擎的分析,从而得到旅游搜索引擎的发展现状和现今所存在的问题。     

基于广度优先搜索的网络蜘蛛设计

网络蜘蛛搜索策略的研究是近年来专业搜索引擎研究的焦点之一,如何使搜索引擎快速准确地从庞大的网页数据中获取所需资源的需求是目前所面临的重要问题。重点阐述了搜索引擎的Web Spider（网络蜘蛛）的搜索策略和搜索优化措施,提出了一种简单的基于广度优先算法的网络蜘蛛设计方案,并分析了设计过程中的优化措施。     

1997-2011年我国搜索引擎研究论文统计分析

对1997-2011年这15年间刊载在我国18种图书馆学、情报学核心期刊上的有关搜索引擎研究的论文进行定量分析,分析的内容主要包括:论文发表年代分布、论文产出期刊源分布、基金课题项目分布、论文及作者的地区分布和系统分布、作者人均发文量、核心作者的确定、核心作者的职称比例、学历比例以及论文的主题分布等,从而可以了解我国搜索引擎研究的状况。     

A study of results overlap and uniqueness among major Web search engines

The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results retrieved by multiple Web search engines for a large set of more than 10,000 queries. Previous smaller studies have discussed a lack of overlap in results returned by Web search engines for the same queries. The goal of the current study was to conduct a large-scale study to measure the overlap of search results on the first result page (both non-sponsored and sponsored) across the four most popular Web search engines, at specific points in time using a large number of queries. The Web search engines included in the study were MSN Search, Google, Yahoo! and Ask Jeeves. Our study then compares these results with the first page results retrieved for the same queries by the metasearch engine Dogpile.com. Two sets of randomly selected user-entered queries, one set was 10,316 queries and the other 12,570 queries, from Infospace’s Dogpile.com search engine (the first set was from Dogpile, the second was from across the Infospace Network of search properties were submitted to the four single Web search engines). Findings show that the percent of total results unique to only one of the four Web search engines was 84.9%, shared by two of the three Web search engines was 11.4%, shared by three of the Web search engines was 2.6%, and shared by all four Web search engines was 1.1%. This small degree of overlap shows the significant difference in the way major Web search engines retrieve and rank results in response to given queries. Results point to the value of metasearch engines in Web retrieval to overcome the biases of individual search engines.     

Discriminating meta-search: a framework for evaluation

There was a proliferation of electronic information sources and search engines in the 1990s. Many of these information sources became available through the ubiquitous interface of the Web browser. Diverse information sources became accessible to information professionals and casual end users alike. Much of the information was also hyperlinked, so that information could be explored by browsing as well as searching. While vast amounts of information were now just a few keystrokes and mouseclicks away, as the choices multiplied, so did the complexity of choosing where and how to look for the electronic information. Much of the complexity in information exploration at the turn of the twenty-first century arose because there was no common cataloguing and control system across the various electronic information sources. In addition, the many search engines available differed widely in terms of their domain coverage, query methods and efficiency.Meta-search engines were developed to improve search performance by querying multiple search engines at once. In principle, meta-search engines could greatly simplify the search for electronic information by selecting a subset of first-level search engines and digital libraries to submit a query to based on the characteristics of the user, the query/topic, and the search strategy. This selection would be guided by diagnostic knowledge about which of the first-level search engines works best under what circumstances. Programmatic research is required to develop this diagnostic knowledge about first-level search engine performance.This paper introduces an evaluative framework for this type of research and illustrates its use in two experiments. The experimental results obtained are used to characterize some properties of leading search engines (as of 1998). Significant interactions were observed between search engine and two other factors (time of day and Web domain). These findings supplement those of earlier studies, providing preliminary information about the complex relationship between search engine functionality and performance in different contexts. While the specific results obtained represent a time-dependent snapshot of search engine performance in 1998, the evaluative framework proposed should be generally applicable in the future.     

因特网上的图像搜索引擎

The operating principle of Web-based image search engines is briefly described. A detailed evaluation of some of image search engines is made. Finally, the paper points out the deficiencies of the present image search engines and their development trend.     

How are we searching the World Wide Web? A comparison of nine search engine transaction logs

The Web and especially major Web search engines are essential tools in the quest to locate online information for many people. This paper reports results from research that examines characteristics and changes in Web searching from nine studies of five Web search engines based in the US and Europe. We compare interactions occurring between users and Web search engines from the perspectives of session length, query length, query complexity, and content viewed among the Web search engines. The results of our research shows (1) users are viewing fewer result pages, (2) searchers on US-based Web search engines use more query operators than searchers on European-based search engines, (3) there are statistically significant differences in the use of Boolean operators and result pages viewed, and (4) one cannot necessary apply results from studies of one particular Web search engine to another Web search engine. The wide spread use of Web search engines, employment of simple queries, and decreased viewing of result pages may have resulted from algorithmic enhancements by Web search engine companies. We discuss the implications of the findings for the development of Web search engines and design of online content.     

媒介视角下的搜索引擎公信力失范探析——以价值型搜索为例

在吸取媒介公信力和社会失范理论研究成果的基础上,以价值型搜索为例,建立了搜索引擎公信力评价量表,并在大学生网民中就主流搜索引擎开展公信力失范评价调查,提出了预防和警示搜索引擎公信力失范的举措,丰富和发展了网络环境下的媒介公信力研究.     

Multimedia search capabilities of Chinese language search engines

This paper reports results from a study exploring the multimedia search functionality of Chinese language search engines. Web searching in Chinese (Mandarin) is a growing research area and a technical challenge for popular commercial Web search engines. Few studies have been conducted on Chinese language search engines. We investigate two research questions: which Chinese language search engines provide multimedia searching, and what multimedia search functionalities are available in Chinese language Web search engines. Specifically, we examine each Web search engine’s (1) features permitting Chinese language multimedia searches, (2) extent of search personalization and user control of multimedia search variables, and (3) the relationships between Web search engines and their features in the Chinese context. Key findings show that Chinese language Web search engines offer limited multimedia search functionality, and general search engines provide a wider range of features than specialized multimedia search engines. Study results have implications for Chinese Web users, Website designers and Web search engine developers.