共查询到19条相似文献，搜索用时 156 毫秒
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网络检索工具性能评价标准浅议 总被引：23，自引：3，他引：23
本文根据当前网络检索工具的新变化、新特点，提出了一套对网络检索工具进行性能评价与比较的标准，该标准由5个方面组成，分别是:索引 数据库构成（如，标引深度、更新频率）、检索功能（基本检索功能与高级检索功能）、检索效果（响应时间、查全率R、查准率P、重复率R、死链接率Rd）、检索结果显示（结果显示格式的种类与内容、相关性排序依据等）以及用户负担（用户界面、相关文献、信息过滤功能等），其中重复率Rr、互链接率Rd是作者根据需要提出的两个新的定量评价指标。 相似文献
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本文通过利用Google Scholar、EI和SCIE的作者检索功能,对这3种检索工具的检索结果进行了比较分析。研究表明Google Scholar是比较权威和全面的免费学术检索工具,但Google Scholar在中文学术文献检索中文献重复率高达2837%,且由于来源数据库的局限,文献的漏检现象比较严重。 相似文献
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国际联机检索效果综合评价 总被引：3，自引：0，他引：3
文章初步提出了国际联机检索效果的综合评价指标体系,并采用层次分析法对攻关型课题的检索效果进行了模拟评价研究。本文采用的层次分析法是一种改型的层次分析法,克服了原方法中一致性检验的繁锁与复杂性,保证了评价结果的准确与客观。 相似文献
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中文Google和百度的排序方式与检索效率比较分析 总被引：1，自引：0，他引：1
中文Google和百度是大陆网民最常使用的两个中文搜索引擎，因此对其检索效率的比较分析就显得格外重要。而检索结果的排序是影响检索效率的关键因素。因为根据统计很多网络用户只有耐心看检索结果的前5页。本文在概括介绍目前搜索引擎采用的三种结果排序规则：地点和频率法、人气质量定律、自信心定律的基础上。比较分析了中文Google和百度的排序技术。最后笔者通过检索实践得出结论，中文Google和百度各有所长，但是在检索效率上尤其是检索结果的有效性上，中文Google比百度要好。 相似文献
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Google Scholar是一种重要的检索工具。作者从应用角度中抽样统计并分析了这种工具的一些不足,包括对谷歌学术的自动检索式扩展,专利检索,引用功能3个方面,在统计结果分析中可能对用户产生误导的地方。 相似文献
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Internet网络检索工具——Cambridge Scientific Abstracts检索功能及其评价 总被引：1，自引：0，他引：1
阐述了网络检索工具Cambridge Scientific Abstracts《剑桥科学文摘》的快速检索和高级检索两大主要检索功能，对其检索效果进行了客观评价。 相似文献
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针对国内常用中文数据库检索功能相似但又有区别的情况,对比分析了CBMWEB、CMCC、CNKI3个中文常用数据库的检索途径、检索字段、截词符、精确检索、检索历史等功能,并给出实例,同时指出常见使用错误,以期方便用户清晰掌握各数据库的使用方法,同时为网络信息资源评价和建设提供依据。 相似文献
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Cloaking指的是显示给Google和其他搜索引擎的页面与显示给普通浏览者的页面不同的技术。这种技术的目的通常是想操纵搜索引擎的排名结果，当普通浏览者在搜索引擎结果中查找资料的时候就会受到误导。本文介绍了Cloaking的定义和出现原因，并对Cloaking技术进行了分析和评价。 相似文献
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With ever increasing information being available to the end users, search engines have become the most powerful tools for obtaining useful information scattered on the Web. However, it is very common that even most renowned search engines return result sets with not so useful pages to the user. Research on semantic search aims to improve traditional information search and retrieval methods where the basic relevance criteria rely primarily on the presence of query keywords within the returned pages. This work is an attempt to explore different relevancy ranking approaches based on semantics which are considered appropriate for the retrieval of relevant information. In this paper, various pilot projects and their corresponding outcomes have been investigated based on methodologies adopted and their most distinctive characteristics towards ranking. An overview of selected approaches and their comparison by means of the classification criteria has been presented. With the help of this comparison, some common concepts and outstanding features have been identified. 相似文献
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Shubham Goel Ravinder Kumar Munish Kumar Vikram Chopra 《Information processing & management》2019,56(3):1053-1066
In the whole world, the internet is exercised by millions of people every day for information retrieval. Even for a small to smaller task like fixing a fan, to cook food or even to iron clothes persons opt to search the web. To fulfill the information needs of people, there are billions of web pages, each having a different degree of relevance to the topic of interest (TOI), scattered throughout the web but this huge size makes manual information retrieval impossible. The page ranking algorithm is an integral part of search engines as it arranges web pages associated with a queried TOI in order of their relevance level. It, therefore, plays an important role in regulating the search quality and user experience for information retrieval. PageRank, HITS, and SALSA are well-known page ranking algorithm based on link structure analysis of a seed set, but ranking given by them has not yet been efficient. In this paper, we propose a variant of SALSA to give sNorm(p) for the efficient ranking of web pages. Our approach relies on a p-Norm from Vector Norm family in a novel way for the ranking of web pages as Vector Norms can reduce the impact of low authority weight in hub weight calculation in an efficient way. Our study, then compares the rankings given by PageRank, HITS, SALSA, and sNorm(p) to the same pages in the same query. The effectiveness of the proposed approach over state of the art methods has been shown using performance measurement technique, Mean Reciprocal Rank (MRR), Precision, Mean Average Precision (MAP), Discounted Cumulative Gain (DCG) and Normalized DCG (NDCG). The experimentation is performed on a dataset acquired after pre-processing of the results collected from initial few pages retrieved for a query by the Google search engine. Based on the type and amount of in-hand domain expertise 30 queries are designed. The extensive evaluation and result analysis are performed using MRR, [email protected], MAP, DCG, and NDCG as the performance measuring statistical metrics. Furthermore, results are statistically verified using a significance test. Findings show that our approach outperforms state of the art methods by attaining 0.8666 as MRR value, 0.7957 as MAP value. Thus contributing to the improvement in the ranking of web pages more efficiently as compared to its counterparts. 相似文献
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作者通过调研说明了政府网站优化的必要性,并且提出了政府网站优化的方法,如避免复杂的结构,修改关键字结构与密度,加入一些合适的外部链接,可以让一般的政府职能部门网站在搜索引擎上获得很好排名,但对政府门户网站优化还要精心布局网站内部结构,巧妙使用网站内部链接来提高其子页在搜索引擎上的排名。 相似文献
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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. 相似文献
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Recent research in the human computer interaction and information retrieval areas has revealed that search response latency exhibits a clear impact on the user behavior in web search. Such impact is reflected both in users’ subjective perception of the usability of a search engine and in their interaction with the search engine in terms of the number of search results they engage with. However, a similar impact analysis has been missing so far in the context of sponsored search. Since the predominant business model for commercial search engines is advertising via sponsored search results (i.e., search advertisements), understanding how response latency influences the user interaction with the advertisements displayed on the search engine result pages is crucial to increase the revenue of a commercial search engine. To this end, we conduct a large-scale analysis using query logs obtained from a commercial web search. We analyze the short-term and long-term impact of search response latency on the querying and clicking behaviors of users using desktop and mobile devices to access the search engine, as well as the corresponding impact on the revenue of the search engine. This analysis demonstrates the importance of serving sponsored search results with low latency and provides insight into the ad serving policy of commercial search engines to ensure long-term user engagement and search revenue. 相似文献
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基于RSS的搜索引擎技术及其发展趋向探析 总被引：3，自引：0，他引：3
随着RSS资源的飞速增长,基于RSS的搜索引擎应运而生.RSS搜索引擎的使用方法和Google、百度一样,都是通过输入关键词来搜索要查询的内容.不同的是传统门户搜索引擎是对抓取到的网页内容进行搜索.而RSS搜索引擎则是直接对RSS种子或含有RSS种子的网页进行检索.RSS搜索引擎具有高度准确性、动态聚合机制和高效率、高速度的搜索特点,为当前网络资源最为重要的新型信息检索工具.鉴于此,本文就RSS搜索引擎的国内外研究状况、技术特点和应用机理等进行了初步探讨,在此基础上.笔者进一步对基于RSS的搜索引擎技术进行了展望. 相似文献
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Broken hypertext links are a frequent problem in the Web. Sometimes the page which a link points to has disappeared forever, but in many other cases the page has simply been moved to another location in the same web site or to another one. In some cases the page besides being moved, is updated, becoming a bit different to the original one but rather similar. In all these cases it can be very useful to have a tool that provides us with pages highly related to the broken link, since we could select the most appropriate one. The relationship between the broken link and its possible linkable pages, can be defined as a function of many factors. In this work we have employed several resources both in the context of the link and in the Web to look for pages related to a broken link. From the resources in the context of a link, we have analyzed several sources of information such as the anchor text, the text surrounding the anchor, the URL and the page containing the link. We have also extracted information about a link from the Web infrastructure such as search engines, Internet archives and social tagging systems. We have combined all of these resources to design a system that recommends pages that can be used to recover the broken link. A novel methodology is presented to evaluate the system without resorting to user judgments, thus increasing the objectivity of the results, and helping to adjust the parameters of the algorithm. We have also compiled a web page collection with true broken links, which has been used to test the full system by humans. 相似文献