Web挖掘研究

介绍了Web挖掘的任务和分类;讨论了Web的内容挖掘、结构挖掘和使用记录挖掘。     

Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web

Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen little empirical research. This study compared the search information retrieval (IR) performance of folksonomies from social bookmarking Web sites against search engines and subject directories. Thirty-four participants created 103 queries for various information needs. Results from each IR system were collected and participants judged relevance. Folksonomy search results overlapped with those from the other systems, and documents found by both search engines and folksonomies were significantly more likely to be judged relevant than those returned by any single IR system type. The search engines in the study had the highest precision and recall, but the folksonomies fared surprisingly well. Del.icio.us was statistically indistinguishable from the directories in many cases. Overall the directories were more precise than the folksonomies but they had similar recall scores. Better query handling may enhance folksonomy IR performance further. The folksonomies studied were promising, and may be able to improve Web search performance.     

Empirical observations on the session timeout threshold

The World Wide Web is a popular “tool” for companies. It can be used as a method of communication between companies and their customers; it also allows organizations to setup virtual storefronts that can be accessed by customers from all over the world. The ability to understand customers’ behavior is extremely important as companies strive to increase the usability and profitability of their web service. The concept of a session is a popular unit of measurement used to analyze recorded information. However, this concept is currently rather abstract and lacks definition. How we measure a session is a fundamental question for web services utilizing this concept. Currently, this question has no real answer. This paper presents a session timeout threshold model based on empirical observations as an initial answer to this question. The model seeks to provide accurate session data with respect to individual web services.     

A study of results overlap and uniqueness among major Web search engines

The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results retrieved by multiple Web search engines for a large set of more than 10,000 queries. Previous smaller studies have discussed a lack of overlap in results returned by Web search engines for the same queries. The goal of the current study was to conduct a large-scale study to measure the overlap of search results on the first result page (both non-sponsored and sponsored) across the four most popular Web search engines, at specific points in time using a large number of queries. The Web search engines included in the study were MSN Search, Google, Yahoo! and Ask Jeeves. Our study then compares these results with the first page results retrieved for the same queries by the metasearch engine Dogpile.com. Two sets of randomly selected user-entered queries, one set was 10,316 queries and the other 12,570 queries, from Infospace’s Dogpile.com search engine (the first set was from Dogpile, the second was from across the Infospace Network of search properties were submitted to the four single Web search engines). Findings show that the percent of total results unique to only one of the four Web search engines was 84.9%, shared by two of the three Web search engines was 11.4%, shared by three of the Web search engines was 2.6%, and shared by all four Web search engines was 1.1%. This small degree of overlap shows the significant difference in the way major Web search engines retrieve and rank results in response to given queries. Results point to the value of metasearch engines in Web retrieval to overcome the biases of individual search engines.     

WoS数据库收录论文文献级别用量指标与被引频次的相关性

【目的】分析Web of Science(WoS)数据库中论文文献级别用量指标（使用次数）与被引频次的分布情况及其相关性,以揭示论文使用与被引的规律及相关关系。【方法】 收集2013～2015年WoS数据库收录信息科学与图书情报学领域被引频次TOP5%、使用次数TOP5%论文数据,分析文献类型,被引频次和使用次数的年度表现及其相关性。【结果】 被引频次TOP5%、使用次数TOP5%以及两者重合文献主要类型均为Article。使用次数（180天）和被引频次三年间差异显著：前者2015年>2014年>2013年（均为P<0.05）,后者表现相反。使用次数（2013年至今）、使用次数（180天）和被引频次弱相关（均为P<0.05）;各年度中除2015年外均有相关性。【结论】 引文时间窗口越长,论文被引频次越高,一定时间内学者们更倾向于使用较新的文献;也揭示了论文使用与被引之间存在的共性,这种共性和引文时间窗口有关。     

运用Web of Science做好英文科技期刊的自我评价

【目的】 探索我国英文科技期刊如何更好地利用Web of Science(WoS)数据库平台做好期刊的学术影响力指标跟踪及国际化程度评估。【方法】 以Journal of Bionic Engineering及同领域的竞争期刊为例,探讨运用WoS的自动统计分析功能进行科技期刊学术影响力指标跟踪和期刊国际化程度评估的新方法。【结果】 利用WoS的自动统计分析功能可以快速、准确地做好科技期刊的学术影响力指标跟踪及期刊国际化程度评估,帮助期刊编辑部查找不足,从而适时地调整办刊策略。【结论】 高效运用WoS等网络新兴工具可以更好地为我国科技期刊的国际化助力。     

一种基于行为的XSS客户端防范方法

跨站脚本(XSS)漏洞是Web安全的最大威胁之一.目前XSS防范方法主要为在服务端对用户输入进行过滤.这种方法漏报率较高,且不能及时保护互联网用户.通过对XSS攻击行为,尤其是XSS蠕虫的传播行为进行深入分析,设计并实现了一套新的基于行为的客户端XSS防范方案StopXSS.通过实验及与现有常用客户端XSS防范方案比较,证明其具有对XSS攻击,甚至对0-Day XSS蠕虫的防范能力.     

基于Web的简历档案管理系统设计

针对企业简历档案管理新需求,遵循软件工程思想,使用开源技术JSP与MYSQL,设计开发了基于Web的简历档案管理系统.测试证明,该系统操作简单,性能稳定,易于维护和升级.该系统具有广泛的应用前景.     

基于DECE算法的蓝牙通讯加密

本文在分析蓝牙通讯加密技术缺陷的基础上,提出了DECE通讯加密算法,使得蓝牙对于数据通讯的保密性得到了强化。该算法也可用于网络中的嵌入式设备。     

嵌入式Linux下AD7490驱动的实现

用AD7490对s3c2440进行了扩展,提高其数模转换精度。介绍了嵌入式Linux操作系统下AD7490驱动程序的开发原理及流程,并编写测试程序测试其功能,对于基于Linux的嵌入式系统中小型外设的开发具有借鉴意义。