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.     

WEB OF SCIENCE数据库功能概述

介绍了Web of science数据库的功能、特点及数据库的检索策略。     

基于网页标记的信息隐藏技术研究与实现

通过对超文本标记的分析,介绍了基于网页标记的信息隐藏技术的概念和特点,提出并实现了一种新的网页文本信息隐藏方法。     

运用Web of Science做好英文科技期刊的自我评价

【目的】 探索我国英文科技期刊如何更好地利用Web of Science(WoS)数据库平台做好期刊的学术影响力指标跟踪及国际化程度评估。【方法】 以Journal of Bionic Engineering及同领域的竞争期刊为例,探讨运用WoS的自动统计分析功能进行科技期刊学术影响力指标跟踪和期刊国际化程度评估的新方法。【结果】 利用WoS的自动统计分析功能可以快速、准确地做好科技期刊的学术影响力指标跟踪及期刊国际化程度评估,帮助期刊编辑部查找不足,从而适时地调整办刊策略。【结论】 高效运用WoS等网络新兴工具可以更好地为我国科技期刊的国际化助力。     

基于Wayback的索引策略研究

通过分析目前使用Wayback作为访问工具的Web Archive项目,总结出资源索引工作采用的几个典型索引策略,并对其适用范围及优缺点进行初步分析和探讨,以期为界内同行提供参考。     

Web日志挖掘在电子商务推荐中的应用

介绍电子商务和Web数据挖掘的概念,并介绍Web使用挖掘中应用最多的技术——Web日志挖掘.重点阐述了日志挖掘算法——关联规则的有关知识,以及改进的频繁项目集生成算法Apriori和强关联规则生成算法,并结合实例进行了分析研究.     

Web2．0时代OPAC发展研究

本文阐述了OPAC发展中面临的一系列挑战,并从技术的角度阐述了Web2.0时代OPAC发展的方向.指出了OPAC发展的新的理念并从检索功能的强化、用户参与和用户体验、个性化信息服务、与其它网络资源库的同一化、开源、OPAC发展的技术应用等六个角度阐述了新一代OPAC的特点以及目前的实践应用状况.     

Web2.0环境下专题文献检索途径分析

随着网络技术的发展,新的信息发布和检索方式不断涌现,专题文献检索在沿用传统检索途径的同时,还必须熟悉新的检索方式和途径。本文介绍了博客信息检索、维基网站信息检索、开放存取文献检索等新的学术信息检索途径。     

Web2.0对编目工作的影响

Web2．0的研究和讨论已经引起了图书情报界的巨大热情。Web2．0作为下一代的互联网，会对各个方面造成巨大的影响，编目工作也不例外。本文从Web2．0对编目环境、编目技术、编目方式、编目内容等方面的影响进行了讨论，指出Web2．0环境下的编目工作将为知识组织的实现举有力的支持。     

发展中的新一代OPAC

发展中的新一代OPAC,深入挖掘OPAC内部已经积聚并时刻生成着的大量可资利用的信息.在Web2.0环境下,新一代OPAC进一步从外部获取信息,向用户提供服务;同时,通过向互联网开放OPAC的书目及相关信息,让用户在自己熟悉的网络环境中使用OPAC,改善用户使用OPAC的体验,致力于吸引用户更多地利用图书馆及其服务.