网络蜘蛛搜索策略比较研究

以何种策略访问Web,以提高搜索效率,是近年来专业搜索引擎研究的主要问题之一。按照评价链接价值所采用方法的不同,对现有的网络蜘蛛搜索策略进行了分类,分析、比较了各类搜索策略的特点和优缺点,总结了提高网络蜘蛛搜索效率的几个关键因素。对未来的研究方向进行了展望。     

基于Boltzmann行动选择策略的网络蜘蛛搜索算法

在分析传统网络蜘蛛搜索机制特点的基础上，将Boltzmann行动选择策略引入网络蜘蛛的链接选择机制，提出了一种基于Boltzmann行动选择策略的启发式网络蜘蛛搜索算法．针对国外四所著名大学计算机系网站中计算机论文资源的搜索实验表明，新的算法可以有效提高搜索效率．     

网络蜘蛛搜索策略进展研究

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，按照评价链接价值所采用方法的不同，对专业搜索引擎网络蜘蛛的搜索策略进行了分类，分析，比较了各类搜索策略的特点和优缺点，对未来的研究方向进行了展望，给出了若干值得研究的问题。     

网络蜘蛛搜索基本策略研究

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。按照评价链接价值所采用方法的不同,对专业搜索引擎网络蜘蛛的搜索策略进行了分类,分析、比较了各类搜索策略的优缺点。对未来的研究方向进行了展望,给出了若干值得研究的问题。     

企业信息门户中网络蜘蛛的设计与实现

根据企业门户中信息更新的特点,结合企业门户信息检索的要求,在蜘蛛程序搜索策略中提出基于重要Web页面的增量获取思想,并利用多线程技术,设计应用于企业门户信息搜集的网络蜘蛛,使网络蜘蛛的搜索效率得到了提高。     

一种基于非贪婪策略的网络蜘蛛搜索算法

在分析传统网络蜘蛛搜索策略缺点的基础上，提出了一种非贪婪的链接选择策略，进而提出了一种基于非贪婪策略的启发式搜索算法。针对国外四所著名大学计算机系网站中计算机论文资源的搜索实验表明，新算法可以有效提高搜索效率。     

主题搜索引擎中网络蜘蛛搜索策略的研究

主题网络蜘蛛的搜索策略是主题搜索引擎的核心部分,是近年来主题搜索引擎研究中的热点问题之一。深入研究了主题网络蜘蛛的关键技术,阐述了多线程网络蜘蛛的实现过程,并对传统的VSM算法和PageRank算法进行了改进,提高了主题网络蜘蛛采集信息的有效性和准确性。     

基于搜索引擎调用的主题搜索设计与实现

网络搜索是目前从因特网上获取信息的主要手段,而网络蜘蛛又是大多数网络搜索工具获取网络信息的主要方法,主题搜索策略是专业搜索引擎的核心技术.通过研究网络蜘蛛的工作原理,分析了网络蜘蛛的搜索策略和搜索优化措施,设计出一种将限制搜索深度.多线程技术和正则表达式匹配方法结合一起的网络蜘蛛,实验结果表明该方法能够快速而准确地搜索所需的相关主题信息.     

主题搜索引擎中网络爬虫的搜索策略研究

本文对主题搜索引擎中的网络蜘蛛搜索策略进行了详细的分析,在深入分析主题页面在Web上的分布特征与主题相关性判别算法的基础上提出了一个面向主题搜索的网络蜘蛛模型,对模型的组织结构进行了详细阐述。作为主题网络蜘蛛搜索策略的核心部分,主题相关性判断算法是网络蜘蛛能够围绕设定主题进行聚焦检索的关键。在URL的主题相关性判别过程中引入了链接文本及相关链接属性分析,提出了一种新颖的URL主题相关性算法--EPR算法。     

基于广度优先搜索的网络蜘蛛设计

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。     

专业搜索引擎搜索策略综述

按照评价链接价值所采用方法的不同，对专业搜索引擎的搜索策略进行了分类，分析了各类搜索策略的特点，比较了它们的优缺点。对未来的研究方向进行了展望，给出了若干值得研究的问题。     

Web-based information search and retrieval: effects of strategy use and age on search success

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.     

Information commitments: evaluative standards and information searching strategies in web-based learning environments

Abstract 'Information commitments' include both a set of evaluative standards that Web users utilize to assess the accuracy and usefulness of information in Web-based learning environments (implicit component), and the information searching strategies that Web users use on the Internet (explicit component). An 'Information Commitment Survey' (ICS), consisting of aforementioned components, was developed. The participants of this study were 610 university students, coming from four universities in Taiwan, and their information commitments were surveyed. Through a series of structural equation modelling (SEM) analyses with Linear Structure RELationships (LISREL), this study confirmed the reliability and validity of ICS. More importantly, the causal relationships between the two components of ICS were also examined. The findings showed that learners' evaluative standards on Web materials (implicit component) had significant effects on their information searching strategies in Web-based learning environments (explicit component). For example, learners who utilized an advanced evaluative standard, such as using multiple sources to judge the accuracy of Web materials, were significantly more oriented toward using a sophisticated information searching strategy, such as carefully exploring and elaborating information in Web-based learning environments. In other words, learners' evaluative standards for Web materials should be viewed as important predictors for their searching strategies in Web-based learning environments.     

主题爬虫的搜索策略研究

主题爬虫收集主题相关信息时,需要评价网页的主题相关度,并优先爬取相关度较高的网页,在决定了搜索路径的同时也决定了主题爬虫的搜索效率.针对不同的网页评价算法,对现有的主题爬虫的搜索策略进行分类,指出了各类搜索策略的特点和优缺点,总结了能够提高主题爬虫搜索效率的几方面内容.     

Web search behavior of Internet experts and newbies

Searching for relevant information on the World Wide Web is often a laborious and frustrating task for casual and experienced users. To help improve searching on the Web based on a better understanding of user characteristics, we investigate what types of knowledge are relevant for Web-based information seeking, and which knowledge structures and strategies are involved. Two experimental studies are presented, which address these questions from different angles and with different methodologies. In the first experiment, 12 established Internet experts are first interviewed about search strategies and then perform a series of realistic search tasks on the World Wide Web. From this study a model of information seeking on the World Wide Web is derived and then tested in a second study. In the second experiment two types of potentially relevant types of knowledge are compared directly. Effects of Web experience and domain-specific background knowledge are investigated with a series of search tasks in an economics-related domain (introduction of the Euro currency). We find differential and combined effects of both Web experience and domain knowledge: while successful search performance requires the combination of the two types of expertise, specific strategies directly related to Web experience or domain knowledge can be identified.     

Searching for multimedia: analysis of audio,video and image Web queries

The development of digital libraries has enhanced the integration of textual and multimedia information in many document collections. The World Wide Web provides the connectivity for many digital library users. Studies exploring the searching characteristics of Web users are an important and a growing area of research. Most Web user studies have focused on general Web searching, regardless of subject matter or format. Little research has examined how Web users search for multimedia information. Our study examines users' multimedia searching on a major Web search service. The data set examined consisted of 1,025,908 queries from 211,058 users of Excite ®, a major Web search service. From this data set, we identified and analyzed queries for audio, image, and video queries. Our findings were compared to results from general Web searching studies. Implications for the design of Web searching services and interfaces are discussed.     

Distributed Knowledge Management in eLearning

With the wide application of Internet in elearning, the requirement of reusable, sharable learning objects and adaptive learning strategies becomes common ground. Traditional methods of Web resources publishing and managing such as free publishing or building application systems for special purposes are not good at fast discovering and aggregating knowledge. This paper discusses Meta-data structure in elearning, which facilitates searching, managing and linking granules of learning contents. Applying Web services and UDDI techniques, a system of knowledge management on Web based on Meta-data is proposed and some questions in application are discussed.     

可配置Web Robot的研究与实现

针对个性化搜索需要多种Web Robot支持工作的需求,在分析Web Robot工作原理的基础上,利用面向对象的分析设计方法,提出了一种可实现增量开发的Web Robot的系统模型,并经过了充分的实验验证。实验结果表明应用此模型可以灵活控制Web Robot的搜索策略,通过合理扩展可适用于不同类型的Web资源搜索,能够根据不同的个性化搜索需求灵活定制相应的Web Robot,有效地节约了开发Web Robot的各项成本。