共查询到19条相似文献，搜索用时 156 毫秒
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从发展历程、研究对象和内容及国际研究热点问题和发展趋势等方面对网络计量学进行了探讨,重点介绍了网络链接分析和搜索引擎算法的原理及相关模型,并对当前研究较多的网络影响因子和网络数据挖掘从理论和应用层面进行了阐述. 相似文献
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论文通过Yahoo！和Bing搜索引擎获取30个网络社区网站的网页总数、链接总数、内、外部链接数、PR值,并计算了网络影响因子等,运用灰色关联分析对以上多项链接指标数据进行综合排序。研究结果表明:这30个网络社区网站网络影响力前几位是:51.com、腾讯微博、腾讯博客、腾讯论坛、网易微博、网易博客、新浪博客、豆瓣网。最后通过对比Yahoo!和Bing搜索引擎获取的链接数据,验证了两大搜索引擎对于网站链接分析是可行的,但是用Yahoo搜索引擎统计的数据来分析更为准确一些。 相似文献
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中国省会城市政府网站链接分析 总被引：4，自引：0，他引：4
运用网络链接分析方法,利用AllTheWeb与AltaVista两种搜索引擎,分别计算出中国大陆地区27个省会城市政府网站的总链接数、站外链接数、网页数以及总网络影响因子(WIFt)和站外网络影响因子(WIFe);并结合政府网站的特点计算出非政府网站链接数以及非政府网站网络影响因子(WIFc)、GDP网络影响因子(WIFg)、人口网络影响因子(WIFr)和人均GDP网络影响因子(WIFj).将这3种链接数与6种网络影响因子分别与政府网站排名得分进行相关性分析,初步确定总链接数可以作为评价政府网站的一项指标,并讨论了现阶段网络链接分析存在的一些问题以及未来的发展趋势. 相似文献
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医学搜索引擎的分析与比较研究 总被引：3，自引：0，他引：3
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。 相似文献
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搜索引擎技术的现状与展望 总被引：4，自引：0，他引：4
在网络信息资源极大丰富的今天，如果人们想要准确地、迅速地查找自己所需的信息，就必须借助搜索引擎技术。作为一种重要的信息资源组织与控制工具，搜索引擎的出现将为数字图书馆的发展提供新的实现手段。本文拟从目前搜索引擎存在的问题出发．对其未来的发展进行展望。 相似文献
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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。 相似文献
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网页设计需要考虑到人的视觉加工特点,尤其是人的视觉搜索特点。浏览者对网页信息的获取取决于人的视觉搜索特点及影响因素。对视觉搜索的影响因素进行了分析,并针对每个影响因素为网页设计提供了一些相应的建议。 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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搜索引擎的功能及其局限性探讨 总被引：11，自引：0，他引：11
搜索引擎具有网上信息收集、组织和检索三大功能，由于受人为因素和技术因素的影响，目前搜索引擎存在信息标引深度不够、信息占有量不足，查准率低，查全率不高，技术发展不完善，检索功能不全、索引数据库更新困难，挤占网络带宽、分工协作不强等局限性。 相似文献
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以中国知网（CNKI）和WebofScience中有关网络影响因子（WebImpactFactor,WIF）的文献为研究对象,利用CiteSpace等可视化分析工具,对其引文数据和主题词数据进行分析,梳理网络影响因子研究的发展脉络、重要机构和关键人物,并以知识图谱的形式呈现出来。 相似文献
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Large-scale web search engines are composed of multiple data centers that are geographically distant to each other. Typically, a user query is processed in a data center that is geographically close to the origin of the query, over a replica of the entire web index. Compared to a centralized, single-center search engine, this architecture offers lower query response times as the network latencies between the users and data centers are reduced. However, it does not scale well with increasing index sizes and query traffic volumes because queries are evaluated on the entire web index, which has to be replicated and maintained in all data centers. As a remedy to this scalability problem, we propose a document replication framework in which documents are selectively replicated on data centers based on regional user interests. Within this framework, we propose three different document replication strategies, each optimizing a different objective: reducing the potential search quality loss, the average query response time, or the total query workload of the search system. For all three strategies, we consider two alternative types of capacity constraints on index sizes of data centers. Moreover, we investigate the performance impact of query forwarding and result caching. We evaluate our strategies via detailed simulations, using a large query log and a document collection obtained from the Yahoo! web search engine. 相似文献
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Mauro Rojas Herrera Edleno Silva de Moura Marco Cristo Thomaz Philippe Silva Altigran Soares da Silva 《Information processing & management》2010
Queries submitted to search engines can be classified according to the user goals into three distinct categories: navigational, informational, and transactional. Such classification may be useful, for instance, as additional information for advertisement selection algorithms and for search engine ranking functions, among other possible applications. This paper presents a study about the impact of using several features extracted from the document collection and query logs on the task of automatically identifying the users’ goals behind their queries. We propose the use of new features not previously reported in literature and study their impact on the quality of the query classification task. Further, we study the impact of each feature on different web collections, showing that the choice of the best set of features may change according to the target collection. 相似文献
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RSS: A framework enabling ranked search on the semantic web 总被引：1，自引：0，他引：1
The semantic web not only contains resources but also includes the heterogeneous relationships among them, which is sharply distinguished from the current web. As the growth of the semantic web, specialized search techniques are of significance. In this paper, we present RSS—a framework for enabling ranked semantic search on the semantic web. In this framework, the heterogeneity of relationships is fully exploited to determine the global importance of resources. In addition, the search results can be greatly expanded with entities most semantically related to the query, thus able to provide users with properly ordered semantic search results by combining global ranking values and the relevance between the resources and the query. The proposed semantic search model which supports inference is very different from traditional keyword-based search methods. Moreover, RSS also distinguishes from many current methods of accessing the semantic web data in that it applies novel ranking strategies to prevent returning search results in disorder. The experimental results show that the framework is feasible and can produce better ordering of semantic search results than directly applying the standard PageRank algorithm on the semantic web. 相似文献
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搜索引擎自动分类功能评价 总被引：2，自引：0，他引：2
本文分析了搜索引擎的检索结果自动分类的功能。通过模拟真实环境的检索实验。比较分析了“中国搜索”和“搜狗”在该项功能上的特点、区别和用户使用情况，并对此做出评价。 相似文献
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