基于Web日志的煤矿企业网站个性化推荐服务研究

为了解决煤矿企业网站用户查找信息难的问题,提出了一种基于Web日志的煤矿企业网站个性化推荐服务模型。该模型应用关联规则对新用户进行页面推荐,应用聚类算法对老用户进行页面推荐;并结合点击网页的次数、网页的浏览时间、雅可系数与最长公共路径系数来度量用户兴趣度的方法,可为用户准确地推荐其感兴趣的页面。测试结果表明,该模型能够有效地对网页资源进行分类并进行个性化推荐。     

Privacy leakage on the Web: Diffusion and countermeasures

Protecting privacy on the Web is becoming increasingly complicated because of the considerable amount of personal and sensitive information left by users in many locations during their Web browsing and the silent actions of third party sites that collect data, aggregate information and build personal profiles of Internet users in order to provide free and personalized services. On the other hand, most of people are unaware that their information may be collected online, and that, after their aggregation from multiple sources, could be used for secondary purposes, such as linked to allow identification, without user’s notice.     

Web Usage Mining as a Tool for Personalization: A Survey

This paper is a survey of recent work in the field of web usage mining for the benefitof research on the personalization of Web-based information services. The essence of personalization is the adaptability of information systems to the needs of their users. This issue is becoming increasingly important on the Web, as non-expert users are overwhelmed by the quantity of information available online, while commercial Web sites strive to add value to their services in order to create loyal relationships with their visitors-customers. This article views Web personalization through the prism of personalization policies adopted by Web sites and implementing a variety of functions. In this context, the area of Web usage mining is a valuable source of ideas and methods for the implementation of personalization functionality. We therefore present a survey of the most recent work in the field of Web usage mining, focusing on the problemsthat have been identified and the solutions that have been proposed.     

Moving happily through the World Wide Web

Looks at some practical approaches to improving the process of interacting with information distributed over the global information infrastructure, specifically for the World Wide Web. The introduction of NCSA Mosaic changed the way we get information over the Web. With the click of a button, Mosaic's graphical user interface made it possible to browse and retrieve literally any information accessible through the Web. This is true if you know the document's Universal Resource Locator (URL), an identifier expressing its location. You type in this address and sooner or later (depending on document size and traffic at the time), the document appears on your screen. If you do not know the URL, or even which documents contain the requested information, you might want to browse or search the Web. Interacting with information on the Web starts with browsing and searching; continues with selecting, digesting and assimilating information; terminates with generating new information; and begins anew. The user's needs and desires must occupy center stage during development of Web systems and sites. The approach chosen should let users interact easily and effectively with the information contained throughout large arrays of documents. Visualization, computer graphics, and just plain common sense in designing Web pages and presenting information make the process better for users. This article discusses how to construct effective presentations (Web pages)     

面向Web日志的语义聚类算法*

由于现有的Web日志缺少明显语义,提出一种语义Web日志模型--SWLM,并给出基于该模型的网页和用户聚类算法.通过日志概念的语义距离定量计算来聚类网页和用户,奠定了Web个性化服务的基础.性能测试实验证明,该模型具有较好的整体性能,能有效地进行网页和用户聚类.     

Databases deepen the Web

The Web has become the preferred medium for many database applications, such as e-commerce and digital libraries. These applications store information in huge databases that users access, query, and update through the Web. Database-driven Web sites have their own interfaces and access forms for creating HTML pages on the fly. Web database technologies define the way that these forms can connect to and retrieve data from database servers. The number of database-driven Web sites is increasing exponentially, and each site is creating pages dynamically-pages that are hard for traditional search engines to reach. Such search engines crawl and index static HTML pages; they do not send queries to Web databases. The information hidden inside Web databases is called the "deep Web" in contrast to the "surface Web" that traditional search engines access easily. We expect deep Web search engines and technologies to improve rapidly and to dramatically affect how the Web is used by providing easy access to many more information resources.     

个性化网络信息过滤Agent的反馈评价机制

文章描述了信息过滤的作用,并介绍了一个基于Agent的万维网文档信息过滤系统。文中提出了个性化网络信息过滤Agent的结构及其实现方案,并讨论了用相关反馈评价机制更新用户兴趣模型的问题,建议用决策树从用户分类的文档集中学习用户的信息兴趣。     

Piggy Bank: Experience the Semantic Web inside your web browser

The Semantic Web Initiative envisions a Web wherein information is offered free of presentation, allowing more effective exchange and mixing across web sites and across web pages. But without substantial Semantic Web content, few tools will be written to consume it; without many such tools, there is little appeal to publish Semantic Web content.To break this chicken-and-egg problem, thus enabling more flexible information access, we have created a web browser extension called Piggy Bank that lets users make use of Semantic Web content within Web content as users browse the Web. Wherever Semantic Web content is not available, Piggy Bank can invoke screenscrapers to re-structure information within web pages into Semantic Web format. Through the use of Semantic Web technologies, Piggy Bank provides direct, immediate benefits to users in their use of the existing Web. Thus, the existence of even just a few Semantic Web-enabled sites or a few scrapers already benefits users. Piggy Bank thereby offers an easy, incremental upgrade path to users without requiring a wholesale adoption of the Semantic Web's vision.To further improve this Semantic Web experience, we have created Semantic Bank, a web server application that lets Piggy Bank users share the Semantic Web information they have collected, enabling collaborative efforts to build sophisticated Semantic Web information repositories through simple, everyday's use of Piggy Bank.     

Web日志挖掘及其在校园网中的应用

如何有效地分析用户的需求,帮助用户从因特网的信息海洋中发现他们感兴趣的信息和资源．已经成为一项迫切而重要的课题。解决这些问题的一个途径,就是将传统的数据挖掘技术与Web结合起来,进行Web数据挖掘。其中的Web日志挖掘可以掌握用户在浏览站点时的行为,并且将挖掘出的用户访问模式应用于网站上,在改善Web站点的结构以及页面间的超链接结构,提高站点的服务质量等方面有重要的意义。     

Web日志挖掘及其在校园网中的应用

如何有效地分析用户的需求,帮助用户从因特网的信息海洋中发现他们感兴趣的信息和资源,已经成为一项迫切而重要的课题。解决这些问题的一个途径,就是将传统的数据挖掘技术与Web结合起来,进行Web数据挖掘。其中的Web日志挖掘可以掌握用户在浏览站点时的行为,并且将挖掘出的用户访问模式应用于网站上,在改善Web站点的结构以及页面间的超链接结构,提高站点的服务质量等方面有重要的意义。     

International Aspects of World Wide Web Usability and the Role of High-End Graphical Enhancements

Through 2 experiments, we examined both international differences and the effects of high-end graphical enhancements on the perceived usability of World Wide Web (WWW) sites. To accomplish this goal, we recruited Internet users from Switzerland and the United States to explore 1 of 2 versions of a Web site with the goal of retrieving specific information from the site. The first Web site was a self-contained subset of a large corporate Web site, and the second was a systematically simplified version of the first. After retrieving the required information from the site, participants responded to questions regarding their perception of the Web site's usability and its information presentation. Their responses provided detailed insights into significant differences between WWW users from 2 different cultures with respect to how they perceive the same Web sites. The importance of basic user demographics is documented, and empirical evidence is provided that devalues some high-end graphical enhancements.     

Digital content recommender on the Internet

On the Web, where information is vast and users are numerous, personalization that aims to offer suitable information to suitable users is essential. To sustain their competitive advantage, portal sites attract many users' attention by supplying personalized content. Most Web content providers offer all users the same content, failing to satisfy individual users' needs. Providers should be able to offer suitable users suitable content with suitable speed. To do so, they must be able to identify customers, predict their interests, determine appropriate content, and deliver it in a personalized format during customers' online sessions. In this paper, the author presents a digital-content recommender system that suggests Web content, in this case news articles, based on a user's preference when he or she visits an Internet news site and reads the published articles. This recommender system creates a one-to-one relationship between the content provider and the user, raises the user's satisfaction, and increases loyalty toward the content provider.     

Web navigation and the behavioral effects of constantly visible site maps

Knowledge regarding how Web information-seekers behave with respect to the structures and cues they are provided with may shed light on general principles of navigation in electronic spaces, and assist designers in making more informed structural decisions. This study examines user movement through hierarchically structured Web sites and the behavioral effects of a constantly visible, textual contents list for relatively small sites or more extensive local views than are generally used on the Web today. The site overview resulted in users abandoning fewer information-seeking tasks. Users with such context dig deeper into the site structure, make less use of the browser's Back button, and frequently make navigational movements of great hierarchical distances. Navigational correlates of success and reported confidence for users with the overview differ from those without such context. Both with and without a constant overview, the relationship between the source and destination pages may help predict the amount of time spent at the destination. Experimental reports are preceded by a review of click-stream navigation behavior research.     

A survey on solutions and main free tools for privacy enhancing Web communications

Concern for privacy when users are surfing on the Web has increased recently. Nowadays, many users are aware that when they are accessing Web sites, these Web sites can track them and create profiles on the elements they access, the advertisements they see, the different links they visit, from which Web sites they come from and to which sites they exit, and so on. In order to maintain user privacy, several techniques, methods and solutions have appeared. In this paper we present an analysis of both these solutions and the main tools that are freely distributed or can be used freely and that implement some of these techniques and methods to preserve privacy when users and surfing on the Internet. This work, unlike previous reviews, shows in a comprehensive way, all the different risks when a user navigates on the Web, the different solutions proposed that finally have being implemented and being used to achieve Web privacy goal. Thus, users can decide which tools to use when they want navigate privately and what kind of risks they are assuming.     

Personal service areas for mobile Web applications

Location-based mobile services let wireless mobile users access Web-based information about resources in their immediate vicinities. The authors describe an algorithm that draws on context mobility elements, such as the user's travel direction and speed, to form personal service areas. Their experimental context-aware tourist information system (CATIS) leverages XML technologies and Web services to provide tourist information to mobile users based on these personal service areas and the users' preferences. Because Web service performance depends on the underlying databases, the authors also developed a layered caching scheme for storing environmental data to improve response time.     

Information Monitoring on the Web: A Scalable Solution

This paper presents WebCQ, a continual query system for large-scale Web information monitoring. WebCQ is designed to discover and detect changes to Web pages efficiently, and to notify users of interesting changes with personalized messages. Users' Web page monitoring requests are modeled as continual queries on the Web and referred to as Web page sentinels. The system consists of five main components: a change detection robot that discovers and detects changes, a proxy cache service that reduces the communication traffics to the original information provider on the remote server, a trigger evaluation tool that can filter only the changes that match certain thresholds, a personalized change presentation tool that highlights Web page changes, and a change notification service that displays and delivers interesting changes and fresh information to the right users at the right time. This paper describes the WebCQ system with an emphasis on the general issues in designing and engineering a large-scale information change monitoring system on the Web. There are two main contributions. First, we present the mechanisms that WebCQ provides to support various types of Web page sentinels for finding and displaying interesting changes to Web pages. The large collection of sentinel types allows WebCQ to efficiently locate and monitor a wide range of changes in Web pages. The second contribution is the development of sentinel grouping techniques for efficient and scalable processing of large number of concurrently running triggers and Web page sentinels. We report our initial experimental results showing the effectiveness of the proposed solutions.     

DAMLJessKB: a tool for reasoning with the Semantic Web

Fully realizing the Semantic Web vision will require practical tools. We believe that DAMLJessKB is one such tool. As more and more Web sites, network services, databases, and knowledge bases look to DAML as a de facto representation syntax, we hope that DAMLJessKB will become one in a suite of tools that let users truly leverage the shared semantics.     

Websigns: hyperlinking physical locations to the Web

HP researchers are developing handheld devices that combine wireless technology and ubiquitous computing to provide a transparent linkage between physical entities in the environment and resources available on the Web. First-generation mobile computing technologies typically use protocols such as WAP and i-mode to let PDAs, smart phones, and other wireless devices with Web browsers access the Internet, thereby freeing users from the shackles of their desktops. We believe, in addition, users would benefit from having access to devices that combine the advantages of wireless technology and ubiquitous computing to provide a transparent linkage between the physical world around them and the resources available on the Web. We are developing devices that augment users' reality with Web services related to the physical objects they see     

一种自适应语义Web检索方法

基于内容的语义Web检索只考虑内容本身,没有考虑用户的不同,不能准确反映用户需求。为此,提出一个自适应语义Web检索框架,对于Web中文文档,借助HowNet知识库给出一种本体学习方法,通过提取用户客观、显式和隐式信息建立用户信息库,并设计用户初始查询本体和个性化查询本体构建算法,从而实现用户的自适应检索。实验结果表明,该方法具有较高的检索效率。     

WLML在Web使用挖掘中的应用

提出了一种新的用干Web日志描述的XML应用——WLML语言。实际使用中，首先从web日志文件和Web结构图中生成指定WLML格式的Web日志记录，通过对处理后的记录进行数据挖掘，达到为用户提供个性化服务的目的。