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101.
《Journal of Web Librarianship》2013,7(1):45-55
As free and low-cost Web analytics tools become more sophisticated, libraries’ approach to user analysis can become more nuanced and precise. Tracking appropriate metrics with a well-formulated analytics program can inform design decisions, demonstrate the degree to which those decisions have succeeded, and thereby inform the next iteration in the design process. The Health Sciences Libraries of the University of Minnesota have been using Google Analytics as their primary analytics solution since 2005, and as Google has continued to add functionality and flexibility to the platform, the Health Sciences Libraries has capitalized on the opportunities made available. In this article the author outlines the Health Sciences Libraries strategy for using Google Analytics and describes several of the more novel methods they have developed, providing a roadmap for others seeking to strengthen their understanding of the behavior of users on their library's Web sites. 相似文献
102.
《Journal of Web Librarianship》2013,7(4):299-321
The transition to a new architecture and design for an academic library Web site does not always proceed smoothly. In this case study, a library at a large research university hired an outside Web development contractor to create a new architecture and design for the university's Web site using dotCMS, an open-source content management system. The library participated in the design and development process along with other campus units. Because the university-wide process focused on marketing the university to prospective students, parents, and donors, the contractor's fact-finding process focused on how the library's site design could incorporate Web 2.0 technologies. The resulting library Web site showcased Web 2.0 technology more than it provided users with access to library resources. The library's users quickly communicated their dissatisfaction and confusion, which led to some immediate changes and a commitment to redesign the site based on expressed and demonstrated user needs. The library then hired another contractor to conduct iterative usability testing on both the new site and prototypes for a redesigned version. The testing showed that Web 2.0 technology that does not meet existing user needs creates obstacles for both novice and experienced users. In collaboration with the university's information technology unit, the library developed and launched a revised Web site, which helped users connect to the resources they needed. In the upgrade, Google Search Appliance replaced the native dotCMS search functionality. The authors of this case study demonstrate that libraries may need to advocate for different Web design priorities than those used at the university-wide level and that working with outside contractors presents different challenges and opportunities depending on the contractor's hiring unit. These experiences also demonstrate that libraries can do a better job learning about their users when they lead the fact-finding process. Following these experiences, the library committed to conducting iterative usability testing on a regular basis. 相似文献
103.
从Google网络图书馆计划的成功启动看图书馆数字化发展 总被引:2,自引:0,他引:2
本文关注google成功重启网络图书馆计划这一最新进展,对google网络图书馆计划自推出以来经历的事件进行梳理,重点评议了google的两次重启计划.结合图书馆数字化道路现状.分析了图书馆应对google网络图书馆不同策略,提出新形势下图书馆数字化道路设想. 相似文献
104.
以Google Earth软件作为基础GIS平台,通过kml标记语言,制作并加栽湖北省主要旅游景区的地标,然后对旅游景区最新信息用文字、图片、视频等通过HTML等文件在GE平台上进行发布.该方法可将传统二维的复杂旅游信息系统模式转换为一目了然、立体显示的旅游信息平台,支持影像数据更新和成果网络共享,既便于政府决策管理又方便公众及时掌握信息,有一定的研究价值和广阔的应用前景。 相似文献
105.
百度与Google搜索语法比较分析 总被引:1,自引:0,他引:1
以百度和Google为例,对两者常用的搜索语法进行比较分析,并从用户的角度提出搜索语法的不足之处。 相似文献
106.
107.
Google Scholar对MEDLINE数据库的检索性能测评 总被引:5,自引:0,他引:5
文章以Google Scholar检索MEDLINE数据的检索结果和PubMed的检索结果进行对比分析,以帮助用户正确认识使用Google Scholar. 相似文献
108.
德温特专利创新索引(DII)和欧洲专利检索系统(esp@cenet)和SciFinder Scholar都是检索世界范围内化学化工专利文献的重要工具.本文从收录范围、检索方式和检索结果方面对这3个专利检索系统进行了详细的比较和分析. 相似文献
109.
本文叙述了评价系统的历史发展过程和它在互联网上的各项应用,重点以Google的PageRank技术为例,探讨了引文分析法在网络上的深层次应用,并展望了评价系统在互联网时代的发展趋势. 相似文献
110.
随着网络的普及与文献计量分析研究的自动化发展趋势,Google Scholar的出现,极大地丰富了文献计量研究的数据来源。针对Google Scholar的数据,分析其特征并设计数据预处理过程,借助算法与开发程序,快速、准确地获取符合文献计量分析研究的原始规范数据。 相似文献