网络信息检索效果之我见

介绍了信息检索系统的两个常用指标－－检全率、检准率，论述了网络信息检索工具的类型、特点及应用，分析了影响网络信息检索效果的因素，进而提出了一些改进意见。     

光盘检索与网络检索的测试与评价--以《中刊库》和“百度”搜索引擎为例

从检索功能、检准率、检全率等方面对国内最具代表性的光盘数据库(中刊库)和网络搜索引擎“百度”进行了测试。结果表明，光盘数据库的检索功能优于目前的网络信息检索工具，检准率、检全率也远远高于网络信息检索工具，但网络信息检索工具也有其优势所在。两者若能优势互补。将会获得更好的检索效果。     

网络信息检索的检全率、栓准率影响因素研究

主要介绍信息检索系统评价的两个常用指标－－检全率，检准率，从信息源，搜索引擎检索机制，用户与系统的交互过程3方面分析网络环境下影响它们的因素，并对如何克服不良因素，提高检索质量提出一些建议。     

网络信息检索的检全率、检准率影响因素研究

主要介绍信息检索系统评价的两个常用指标--检全率、检准率,从信息源、搜索引擎检索机制、用户与系统的交互过程3方面分析网络环境下影响它们的因素,并对如何克服不良因素,提高检索质量提出一些建议。     

搜索引擎Google研究

Google搜索引擎是一款目前支持世界上近三十种语言的优秀的网上搜索引擎，其中文搜索服务正被越来越多的使用中文的用户所认识和青睐，本文着力探讨了其强大的功能和特点，并介绍了其有关的查询方法。     

浅谈网络环境下的信息检索效率

网络环境下，信息检索效率主要是指检全率和检准率，它们之间存在互逆、互顺等关系。许多因素影响着检索效率，文章提出了提高检索效率的各种策略，并且展望了其发展趋势。     

Google 在中文信息检索中的应用

搜索引擎Google享有世界最佳搜索引擎之称，其中信息搜索服务也越来越受到中用户的欢迎和重视，本介绍Google在中信息检索中的一些运用技巧。     

检全率与检准率的辩证思考

检全率与准率是一对最重要的评价检索系统效果的指标，它们统一于每一个检索系统、每一次具体检索，又存在彼消我长的相互矛盾，两者的关系符合辩证法的对立统一原理。本文对检全率与检准率的辩证关系进行了初步论述，并阐述了与检全率、检准率相关的几对矛盾因素。     

检索效率的图示初探

通过一个综合的图形和对检全率和检准率的影响因素的分类，讨论了检全率与检准率的关系及其检索效率的定量衡量。     

Google Scholar Beta检索性能的初步分析

利用多个医学提问，通过对Google Scholar Beta、PubMed、ISI Science Citation Index Expanded、CrossRef Search、Scirus等工具检索结果的对比，分析 Google Scholar Beta 测试版搜索引擎在学术信息检索中的性能表现，特别是检索的查全率、结果的相关性、文献被引用检索等方面的性能，指出其存在的不足，并对该搜索引擎对图书馆跨库查询方案的影响进行初步探讨。     

How Google Uses Metadata to Improve Search Results

This article critically examines four Google search products (Google Advanced Search, Google News Advanced Search, Google Books Advanced Search, and Google Advanced Scholar Search) and shows how each uses metadata to enhance or improve search results. In addition, the article shows how metadata can increase search precision and recall in information discovery systems. From a library perspective, this article analyzes some of the metadata-enabled features of Google's advanced search pages and compares these features to those found in a typical online library catalog. From a serials perspective, Google News Advanced Search demonstrates how Google indexes news websites, sites that are essentially continuing resources. As Google incorporates more and more metadata functionality into its advanced search pages, they increasingly begin to function more like online library catalogs and less like search pages found in a traditional Internet search engine. The simple search box has many limitations, and like libraries, Google is increasingly creating and offering metadata-enabled search features that improve search precision and recall in its products.     

Google Book Search and Metadata

This article summarizes published documents on metadata provided by Google for books scanned as part of the Google Book Search (GBS) project and provides suggestions for improvement. The faulty, misleading, and confusing metadata in current Google records can pose potentially serious problems for users of GBS. Google admits that it took data, which proved to be inaccurate, from many sources and is attempting to correct errors. Some argue that metadata is not needed with keyword searching; but optical character recognition (OCR) errors, synonym control, and materials in foreign languages make reliable metadata a requirement for academic researchers. The authors recommend that users should be able to submit error reports to Google to correct faulty metadata.     

Deconstructing Google Dataset Search

This essay examines the beta tool from Google, Google Dataset Search. The Google Dataset Search, announced in September 2018, is a search engine specific to finding research data published on the internet. The structure and methods of the search engine are examined, as well as the methods Google recommends to web developers to make it an effective tool across the World Wide Web. The column concludes with a discussion of the pros and cons of this tool in the research information landscape.     

Optimal Results: What Libraries Need to Know About Google and Search Engine Optimization

Search engine optimization, or the practice of designing a web site so that it rises to the top of the results page when users search for particular keywords or phrases, has become so prevalent on the modern web that it has a significant influence on Google search results. This article examines the techniques used by search engine optimization practitioners, the difference between “white hat” and “black hat” optimization tactics, and why it is important for library staff to understand these techniques and their impact on search engine results pages. It also looks at ways that library staff can help their users develop awareness of the factors that influence search results and how to better assess the quality and relevance of results listings.     

学术搜索引擎Google Scholar与Scirus使用技巧

结合大量实例介绍了Google Scholar（谷歌学术）、SCIRUS这两个学术搜索引擎的特色及实用的检索技巧。     

Google与百度图书搜索比较研究

从图书资源来源及数量、用户界面、检索功能、检索结果、检索效果、图书资源利用方式等方面对 Google和百度图书搜索进行了比较分析,并总结了它们的优点和需要完善的方面。     

Google应用技巧

文章详细分析了网络搜索引擎Google 的功能特征, 讨论了在使用中存在的一些现象和问题。通过具体例证说明: 在进行组合查询时, 要对所有的查询词分别加引号; Google 在对中文繁简字体语义转换时, 有可能出现明显的错误; 搜索到的数据在同一范围内、在以小时为单位内也会出现巨大的变化; 以及在不同范围内, 搜索同一信息时, 随时间的不同, 搜索到的结果会有不同的排序。     

Google搜索引擎的经营策略

据美国<新闻周刊>统计,Google每个月接待来自世界各地超过2800万的独立访问者,全球网民通过Google可以使用88种语言,搜索30多亿个网页及其网页快照,以及4亿多张图片.Google几乎已经成了"网络搜索"的代名词.