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1.
受蚁群觅食行为仿生研究和蚁群系统模型理论所启发,提出了一种基于蚁群计算模型的分布、协作多主体(multi-agent)反应架构的自适应、可伸缩的Web搜索系统模型(MASAIR),其由大量智能主体组成,利用智能主体架构的优异特性,旨在从巨型超文档集合(Web)中自治地搜索特定主题的信息,从而为用户提供迅捷的信息检索服务。详细描述了MASAIR的计算模型及其算法,通过对标准Web文档集的检索仿真实验结果显示:该架构具有对环境改变的鲁棒性和对用户信息需求变更的自适应性。  相似文献   

2.
所谓Web信息检索,是指在海量的网络信息中,搜索出符合用户需要的信息。这是一种快速查找的信息检索方式,但是存在的问题是缺乏个性化,因为用户在输入关键词之后,会检索出来大量的信息,真正符合用户需求的信息可能不会排列在靠前的位置,从而使用户搜寻所需信息变得困难。因此,为了更好的使用户检索到所需的信息,就有了个性化Web信息检索系统的研究。本文通过设计思想的阐述,提出了个性化Web信息检索系统的设计与实现。  相似文献   

3.
针对根据目前网络信息检索存在的查全率和查准率低的特点,提出一种个性化的局部上下文分析方法,以提高Web信息检索的性能.该方法通过设计一种客户端的用户兴趣挖掘模型,同时将用户兴趣模型与局部上下文分析方法相结合,克服了局部上下文分析的缺陷.实验结果显示该方法能有效提高Web信息检索的查全率与查准率.  相似文献   

4.
随着信息系统的升级和Web 2.0系统的广泛应用,现代化企业的内部信息正在呈爆炸性的增长,为提高海量信息检索的精确度,该文设计一个个性化搜索系统,该系统采用分类和聚类等传统信息过滤技术,提出基于角色的协作模型。实验结果表明,新的协作模型能更有效地挖掘企业用户的个性化需求,使搜索结果更为精确。  相似文献   

5.
网络信息快速增长使得传统信息检索技术越来越不能满足信息检索需求.个性化Web信息检索技术是解决这一难题的一个重要途径.本文讨论了个性化Web信息检索的几种关键技术,并提出了具体的用户建模流程.  相似文献   

6.
用户进行Web信息检索时,网络往往返回大量的近似网页(可看作重复网页)。针对搜索引擎查询Web信息所存在的局限性,考虑到基于关键词匹配的搜索引擎系统的特点,结合使用网页的向量空间模型,采用以下算法快速、有效地发现WWW上的重复或相似网页,提高检索效率。  相似文献   

7.
介绍了本体Ontology的概念和理论知识,提出一种基于本体的Web信息检索模型.该模型利用本体技术对Internet上的各类信息进行领域分类,规范用户信息检索模式,以达到快速、准确找到用户所需信息的目的.  相似文献   

8.
针对传统的采用关键词的信息检索方式在个性化方面的不足,提出了一种根据领域本体的个性化信息检索模型.首先获取用户的特征信息,接着利用用户的特征信息构建基于本体的用户兴趣模型,在检索过程中通过领域本体概念和用户兴趣模型对检索请求进行分析并对其进行扩展,获得符合检索意图的结果,在此基础上按兴趣度大小处理后将最终个性化信息检索结果反馈给用户.通过搭建关于本体的个性化检索原型系统,仿真结果验证了改进模型的有效性.  相似文献   

9.
随着Web信息的快速增长和人们对信息检索质量要求的提高,传统的搜索引擎已不能很好地满足人们的需求. 本文提出了一种个性化元搜索引擎模型.个性化是指模型可以针对不同的用户建立不同的用户兴趣模型,然后根据用户兴趣,模型对搜索结果进行过滤、重排序处理,使得显示给用户的搜索结果更具有针对性.本文阐述了各主要功能模块工作原理,并详细介绍了根据用户兴趣模型对搜索结果进行排序的算法,实验表明该算法能够有效地提高用户的检索质量.  相似文献   

10.
基于扩展标记图的Web信息抽取器   总被引:2,自引:0,他引:2  
王亮  朱征宇 《计算机工程》2005,31(8):159-161,191
介绍了一种新的Web信息抽取器,该抽取器基于扩展标记图模型,实观了数据和模式的分离,应用于Web检索系统中,能够有效地支持标记级实时信息检索、抽取和重组。还介绍了其在Web信息检索系统PowerSearcher中的实际应用。  相似文献   

11.
A masss of heterogeneous,distributed and dynamic information on the World Wide Web(the Web) has resulted in “information overload“ .It‘s an important and urgent reserach issue to provide users with effective information retrieval service on the Web.Web search enginees attempt to solve this problem,yet their effect is far from satisfying.In this paper,a distributed and cooperative strategy for information retrieval on the Web is proposed to substitute the centralized mode adopted by the current search engines.Then a new information retrieval system model IRSM is presented.which supports the retrieval of metadata about web documents and uses Z39.50 standard protocol to unify the heterogeneous interfaces of uments and uses Z39.50 standard protocol to unify the heterogeneous interfaces of different systems.Based on that,a distributed and cooperative information refieval framework,called DCIRF,is designed to help users in fast and effective information retrieval on the Web.  相似文献   

12.
Although search engines are essential tools for finding information on the World Wide Web, the effective use of search engines for information retrieval (IR) is a crucial challenge for any Internet user. Based on the user-focused approach, this study investigates individual information retrieval behaviors using information processing theory. The results show that experience with search engines significantly affects users’ attitudes toward search engines for information retrieval, the query-based service is more popular than the directory-based service, users are not completely satisfied with the precision of retrieved information and the response time of search engines, and users’ motivation is a key factor that predicts their intention to use search engines for information retrieval. Furthermore, this study proposes a conceptual model for investigating individual attitudes toward search engines for information retrieval.  相似文献   

13.
基于中文搜索引擎网络信息用户行为研究*   总被引:1,自引:0,他引:1  
为了更好地理解中文搜索用户的检索行为,首先建立一个搜索引擎选择平台,主要是用来生成研究中所需的日志文件;然后从中英文用户的搜索行为差异的角度出发,对日志文件进行深入研究,包括各中文搜索引擎使用率比较以及中文用户输入查询行为的一些规律等。研究结果表明,对准确地评测搜索引擎检索的效果以及未来中文搜索引擎设计的改进都有较好的指导意义。  相似文献   

14.
Cellary  W. Wiza  W. Walczak  K. 《Computer》2004,37(5):87-89
The exponential growth in Web sites is making it increasingly difficult to extract useful information on the Internet using existing search engines. Despite a wide range of sophisticated indexing and data retrieval features, search engines often deliver satisfactory results only when users know precisely what they are looking for. Traditional textual interfaces present results as a list of links to Web pages. Because most users are unwilling to explore an extensive list, search engines arbitrarily reduce the number of links returned, aiming also to provide quick response times. Moreover, their proprietary ranking algorithms often do not reflect individual user preferences. Those who need comprehensive general information about a topic or have vague initial requirements instead want a holistic presentation of data related to their queries. To address this need, we have developed Periscope, a 3D search result visualization system that displays all the Web pages found in a synthetic, yet comprehensible format.  相似文献   

15.
Web搜索引擎框架研究   总被引:43,自引:1,他引:42  
Web搜索引擎是Internet上非常有用的信息检索工具,但是由于目前搜索引擎检索出的信息量庞大,且一个特定的搜索引擎主要包含某一特定领域的信息,这使得用户很难从某一个搜索引擎获得准确的导航信息。文中提出一个新的Web搜索引擎框架GSE,并提出了一个适合于Web信息获取与处理的语言WERPL。通过WIRPL可以将多个Web搜索引擎结合起来,为用户提供一个一致、高效、准确的Web搜索引擎。  相似文献   

16.
Search engines continue to struggle with the challenges presented by Web search: vague queries, impatient users and an enormous and rapidly expanding collection of unmoderated, heterogeneous documents all make for an extremely hostile search environment. In this paper we argue that conventional approaches to Web search -- those that adopt a traditional, document-centric, information retrieval perspective -- are limited by their refusal to consider the past search behaviour of users during future search sessions. In particular, we argue that in many circumstances the search behaviour of users is repetitive and regular; the same sort of queries tend to recur and the same type of results are often selected. We describe how this observation can lead to a novel approach to a more adaptive form of search, one that leverages past search behaviours as a means to re-rank future search results in a way that recognises the implicit preferences of communities of searchers. We describe and evaluate the I-SPY search engine, which implements this approach to collaborative, community-based search. We show that it offers potential improvements in search performance, especially in certain situations where communities of searchers share similar information needs and use similar queries to express these needs. We also show that I-SPY benefits from important advantages when it comes to user privacy. In short, we argue that I-SPY strikes a useful balance between search personalization and user privacy, by offering a unique form of anonymous personalization, and in doing so may very well provide privacy-conscious Web users with an acceptable approach to personalized search.  相似文献   

17.
Kwong  Linus W.  Ng  Yiu-Kai 《World Wide Web》2003,6(3):281-303
To retrieve Web documents of interest, most of the Web users rely on Web search engines. All existing search engines provide query facility for users to search for the desired documents using search-engine keywords. However, when a search engine retrieves a long list of Web documents, the user might need to browse through each retrieved document in order to determine which document is of interest. We observe that there are two kinds of problems involved in the retrieval of Web documents: (1) an inappropriate selection of keywords specified by the user; and (2) poor precision in the retrieved Web documents. In solving these problems, we propose an automatic binary-categorization method that is applicable for recognizing multiple-record Web documents of interest, which appear often in advertisement Web pages. Our categorization method uses application ontologies and is based on two information retrieval models, the Vector Space Model (VSM) and the Clustering Model (CM). We analyze and cull Web documents to just those applicable to a particular application ontology. The culling analysis (i) uses CM to find a virtual centroid for the records in a Web document, (ii) computes a vector in a multi-dimensional space for this centroid, and (iii) compares the vector with the predefined ontology vector of the same multi-dimensional space using VSM, which we consider the magnitudes of the vectors, as well as the angle between them. Our experimental results show that we have achieved an average of 90% recall and 97% precision in recognizing Web documents belonged to the same category (i.e., domain of interest). Thus our categorization discards very few documents it should have kept and keeps very few it should have discarded.  相似文献   

18.
OBJECTIVE: The purpose of this study was to investigate the relationship between strategy use and search success on the World Wide Web (i.e., the Web) for experienced Web users. An additional goal was to extend understanding of how the age of the searcher may influence strategy use. BACKGROUND: Current investigations of information search and retrieval on the Web have provided an incomplete picture of Web strategy use because participants have not been given the opportunity to demonstrate their knowledge of Web strategies while also searching for information on the Web. METHODS: Using both behavioral and knowledge-engineering methods, we investigated searching behavior and system knowledge for 16 younger adults (M = 20.88 years of age) and 16 older adults (M = 67.88 years). RESULTS: Older adults were less successful than younger adults in finding correct answers to the search tasks. Knowledge engineering revealed that the age-related effect resulted from ineffective search strategies and amount of Web experience rather than age per se. Our analysis led to the development of a decision-action diagram representing search behavior for both age groups. CONCLUSION: Older adults had more difficulty than younger adults when searching for information on the Web. However, this difficulty was related to the selection of inefficient search strategies, which may have been attributable to a lack of knowledge about available Web search strategies. APPLICATION: Actual or potential applications of this research include training Web users to search more effectively and suggestions to improve the design of search engines.  相似文献   

19.
当前基于关键字查询的大多数搜索引擎都没有提供个性化的用户服务,搜索结果主要根据关键字与文档的相似度来排序,这很难满足用户对日益膨胀的信息资源的需求。面对用户越来越难以迅速精确地检索到所需信息的现状,本文提出一种应用于LAN中的基于概念的三层搜索引擎模型:通过用户交互的方式,使得搜索具有个性化、智能化的特点。  相似文献   

20.
随着在线数据库的迅速增长,可以访问的数据库资源大大增多,但它们的信息传统搜索引擎无法获得,它隐藏在网站背后,成为人们快速有效获取信息的障碍。为了获得Deepweb中大量有价值的隐藏信息,需要整合各在线异构数据源,以便在同一领域内比较某一事物的大量相关信息。目前,越来越多的人采取网上买书的消费方式,针对这个消费热点问题,设计了一个书籍搜索领域的Deep Web数据集成系统,提供一个集成的查询接口,使得用户可以方便地进行查找和比对。  相似文献   

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