基于用户浏览行为分析的用户兴趣度计算

从用户的浏览行为可以反映用户的兴趣出发,分析了用户的浏览行为与兴趣之间的关系,通过分析把能反映用户兴趣的典型浏览行为归纳为保存页面、打印页面、将页面加入收藏夹、复制页面内容、访问同一页面的次数和在页面上浏览时间这些浏览行为.针对这些浏览行为下的用户兴趣度计算做出阐述,并且在分析基于网页驻留时间和浏览次数计算网页兴趣度的算法的基础上,考虑网页大小的影响因素,使用基于浏览速度计算网页兴趣度,同时利用BP神经网络进行用户兴趣度融合.     

一种新的预测用户浏览模式的度量方法

在Web环境中,度量用户的浏览模式对Web站点结构的改进是有益的。挖掘和度量Web日志能够识别用户的访问模式模型,Web站点管理者能够应用这些模型研究用户的访问偏爱度,由此改进站点的体系结构以及分析这些改进带来的影响。因此,提出用户群偏爱度这样一个新概念,并使用了基于用户群的模糊聚类算法（UGFC）,然后根据聚类结果,即具有相似访问习惯的用户群体,度量用户群偏爱度,再基于用户群偏爱度,利用混合阶Markov模型（HOMM）进行预测。实验表明,这种新的度量预测方法（UGFC-HOMM）比传统Markov模型（TMM）预测更准确,并且实验用精确率、覆盖率和运行时间这3个度量评价值对预测性能进行评估。     

一种改进的Web用户浏览偏爱模式挖掘算法

通过给出页面层次的概念,充分考虑用户在页面上的浏览时间以及在路径选择上表现出来的浏览偏爱,结合Web站点的结构层次特征,提出了一种改进的Web用户浏览偏爱模式挖掘算法.通过具体的事例和试验数据证明,新的模型能够更准确地寻找用户浏览偏爱模式,从而发现用户的兴趣和爱好.     

Real-time Internet news browsing: Information vs. experience-related gratifications and behaviors

This study utilized lab observations with 49 subjects to observe what users encounter and how users behave in real-time Internet news browsing. We analyzed users’ selection of news platform, exposure to different topics of news content, and usage of different presentation elements by coding the screen videos. In addition, survey data with the subjects allow us to explore the links between gratifications and Internet news browsing behaviors. Our analyses suggest that users exert their control through actively and selectively interacting with the news services at the platform, content and presentation level to fulfill their different gratifications. In specific, gratifications based on information utility and those based on usage experience show different relations with different kinds of news browsing behaviors. Both the theoretical and methodological contributions are discussed at the end of this paper.     

一种高效的用户浏览行为采集方法

针对在多用户、多Web站点的网络访问环境下存在的数据采集问题,提出了一种新的数据采集及清理方法。引入网络嗅探的方式进行浏览行为数据的采集;在结合传统数据清理方法的基础上,提出一种利用HTTP请求间存在的引用和时间关系来清除HTTP请求产生的大量的非用户显式点击的附带请求。实验结果表明,该方法可以有效地采集浏览行为数据并清除大量的附带请求,抽取出能够反映用户显式点击的页面基请求,为用户浏览行为建模提供准确的数据源。     

基于Web日志的典型匿名用户路径挖掘研究

通过获取的匿名用户浏览路径集,依据新的路径相似度定义,建立用户浏览路径相似度矩阵,并在此基础上设计实现了匿名用户浏览路径聚类算法,获得聚类结果集,并计算各类的中心,得到典型匿名用户路径.挖掘结果显示典型匿名用户路径代表了不同类用户网络浏览路径,可有效地作为网站信息推荐的依据.     

一种支持移动终端浏览网页的5C处理方法

主要研究基于移动终端的网页融合处理方法,目的是实现在移动终端上无缝地浏览互联网页。要在移动终端上顺利浏览此页面,需要克服移动网络的带宽限制和移动终端的处理能力限制。分析了此种情况,将问题转化为给定一个网页的HTML源文件,解决突破带宽限制和终端处理能力限制的问题;从而提出了一种5C融合处理方法：通过5C处理流程（Convert,Cut,Compress,Cache,Converge）,得出最适合移动终端的HTML源文件,支持在移动终端上顺利的浏览互联网页面。     

Using RSS feeds for effective mobile web browsing

While mobile phones are becoming more popular, wireless communication vendors and device manufacturers are seeking new applications for their products. Access to the large corpus of Internet information is a very prominent field. However, the technical limitations of mobile devices pose many challenges. Browsing the Internet using a mobile phone is a large scientific and cultural challenge. Web content must be adapted before it can be accessed by a mobile browser. This work presents a new methodology that uses Really Simple Syndication (RSS) feeds for the adaptation of web content for use in mobile phones. This methodology is based on concrete design guidelines and supports different viewing modes. The mobile tool provided using the RSS feeds is evaluated based on user-centered evaluation and the results are presented.     

Modeling users' task performance on the mobile device: PC convergence system

This study aims to establish a model-based approach for user interface design that simultaneously considers the system's information hierarchy, users' task procedure knowledge, and system interfaces. The approach is based on a framework that contains multiple interaction models to express both system elements and users' knowledge. The framework evaluates system interface through the interaction between user's knowledge on interface, task procedure and information structure perceived by the user in the system. The interface is evaluated by its contribution to the users' task performance and system navigation.These three factors were defined as design factors that affect users' task performance. Through the crosscheck process of models, the relation between information, interface, and task procedure is calculated into combined difficulty index (CDI) that expresses the difficulty of a system interface that users would experience during the use of system. A user test was conducted for the validation of the CDI. The difficulties of the interface of a mobile healthcare system were predicted with the CDI, and the predictions were compared with the experimental results, where the users' performance showed consistence with the prediction.     

基于用户行为分析的应用层DDoS攻击检测方法*

应用层拒绝服务攻击与传统的拒绝服务相比,其破坏性更大,也更难被检测和防御。对此,基于用户浏览行为的分析,提出了一种采用自回归模型来检测应用层DDoS攻击的方法。通过AR模型和卡尔曼滤波,学习和预测正常用户的访问并判断异常;当定位异常访问源后,反馈给前端路由器进行限流或过滤。在电信IDC实际网络环境中,测试结果表明该方法是有效的。     

An empirical examination of users' post-adoption behaviour of mobile services

Extant research has focused on the initial adoption and usage of mobile services and paid little attention to the post-adoption and continuance usage. However, unless users continue using mobile services, service providers cannot achieve success. Drawing upon the expectation confirmation theory, this research develops a mobile post-adoption model. The post-adoption behaviour includes three variables: continuance intention, recommendation and complaint. We conducted data analysis with partial least squares. The results indicated that expectation confirmation, perceived ease of use, perceived usefulness and usage cost significantly affect users' satisfaction, further determining their post-adoption behaviour. In addition, perceived usefulness has a direct effect on the continuance intention.     

Evaluation of motion-based interaction for mobile devices: A case study on image browsing

This article evaluates the usability of motion sensing-based interaction on a mobile platform using image browsing as a representative task. Three types of interfaces, a physical button interface, a motion-sensing interface using a high-precision commercial 3D motion tracker, and a motion-sensing interface using an in-house low-cost 3D motion tracker, are compared in terms of task performance and subjective preference. Participants were provided with prolonged training over 20 days, in order to compensate for the participants’ unfamiliarity with the motion-sensing interfaces. Experimental results showed that the participants’ task performance and subjective preference for the two motion-sensing interfaces were initially low, but they rapidly improved with training and soon approached the level of the button interface. Furthermore, a recall test, which was conducted 4 weeks later, demonstrated that the usability gains were well retained in spite of the long time gap between uses. Overall, these findings highlight the potential of motion-based interaction as an intuitive interface for mobile devices.     

Switching behavior of mobile users: do users' relational investments and demographics matter?

Mobile user switching has become a critical issue facing mobile service providers. This study examines the switching behavior of mobile users who are not under any contractual obligations to stay with a provider. Drawing upon the literature on relationship marketing and switching costs, we examine if the relational investments made by mobile users in a user-provider relationship and demographics influence their switching behavior. Based on data on over 30,590 mobile users, we examine our research questions. Statistical analysis supports significant associations between mobile users' service usage, service bundling and their switching behavior. Support was also found for the influence of age and gender on mobile user switching.     

Exploring factors influencing mobile users' intention to adopt multimedia messaging service

While short messaging service (SMS) is discussed often in recent literature, multimedia messaging service (MMS), a media rich successor of SMS, is seldom heard or understood by mobile users in Taiwan. The adoption rates of MMS are far from satisfactory, implying that there might be some factors keeping the potential users away from using MMS. This research integrates a qualitative method, the Zaltman Metaphor Elicitation Technique, with the quantitative questionnaire survey to elicit and validate underlying factors which influence potential users' attitude and intention toward the adoption of MMS. A research model together with eight hypotheses was formulated, and a questionnaire based survey was administrated to mobile users knowledgeable about mobile messaging services for empirically validating the research model and testing the hypotheses. Our research findings show that relative advantage and ease of use are important factors significantly influencing mobile users' adoption of MMS but the other two antecedents, facilitating conditions and previous experience, do not have significant and direct impacts on mobile users' intention to use MMS. These study results can be referenced by service providers for designing and developing successful business applications to catch the valuable opportunity and benefit of MMS.     

H-BloX: visualizing alignment block entropies.

H-BloX is a web-based JavaScript application that allows the calculation and visualization of Shannon information content or relative entropy (Kullback-Leibler 'distance') within sequence alignment blocks. The application was designed for use in both teaching and research. Amino acid, nucleic acid sequences, or any other type of aligned chemical structures may serve as the input. Various interpretations of the meaning of 'entropy' or 'information content' are possible, including treatment as a chemical diversity measure or the degree of feature conservation. For analysis of numerical data by H-BloX, values must be converted to a user-defined character alphabet before computation of entropy or information content. H-BloX was successfully applied to feature identification in Escherichia coli signal peptides and their cleavage sites. Characteristics known features became visible, e.g., the hydrophobic core region and the well-known '-3,-1' cleavage site pattern. Based on the H-BloX analysis, the hydrophobic core is centered at amino acid residue position 13, counting from the N-terminal end of the protein precursor sequence. This result was obtained by using a built-in feature of H-BloX that enables conversion of amino acid sequences to a different alphabet that is based on hydrophobicity assignments. H-BloX can be accessed online or downloaded as HTML/JavaScript at http://bopwww.biologie.uni-freiburg.de/~bioinfo/HBloX/html/index.html.     

Reactive behaviors of fast mobile robots

This article addresses the modeling of the reactive behaviors of a mobile robot moving in unstructured and dynamic environments. The main focus is on the software structure devoted to obstacle avoidance when geometric models do not exist and when obstacles can be dynamic. The first part concerns the model of the robot/environment interaction. This model is based on the definition of the interaction component (deformable virtual zone) of an internal state of the robot and leads to avoidance-oriented control laws. The second part describes the derivation of the state equation and one of its implementations on a fast outdoor mobile robot. © 1994 John Wiley & Sons, Inc.     

Understanding mobile technology-fit behaviors outside the classroom

An increase in mobile device usage among college students has been documented in different countries. We provide a solid theoretical and empirical foundation for mobile learning in the context of distance education, and more guidance in terms of how to utilize emerging mobile technologies and to integrate them into their teaching more effectively. This research focuses on a deeper understanding of how learners use mobiles as learning tools outside the classroom. Our results are based on a specific population drawn from two different countries, in which the US (United States) population reflected students from the education field, while the students from Israel are drawn more from the engineering and science fields. The findings of this study contribute to the generalizations to the education field and information system designers who need to analyze and design mobile-learning (m-learning) applications to be used outside the classroom.     

Directional bias in scrolling tasks: a study of users' scrolling behaviour using a mobile text-entry strategy

Mobile devices with limited interaction controls often employ cyclic scrolling for retrieval tasks. In this paper the scrolling behaviour of users entering text using a tree-key input technique based on two-phase cyclic character scrolling is studied. The results show that users have a tendency to scroll more from left-to-right than from right-to-left. However, users do also use the right-to-left functionality to both speed up their text entry task by choosing the shortest path and to make navigational corrections, suggesting that it is appropriate to provide bidirectional scrolling functionality in user interfaces on constrained mobile devices. In situations where a device architect is constrained to providing only unidirectional scrolling, the results suggest that a right-directional design is preferred over a left-directional design.     

Emerging motor behaviors: Learning joint coordination in articulated mobile robots

In this paper, we analyze the insights behind the common approach to the assessment of robot motor behaviors in articulated mobile structures with compromised dynamic balance. We present a new approach to this problem and a methodology that implements it for motor behaviors encapsulated in rest-to-rest motions. As well as common methods, we assume the availability of kinematic information about the solution to the task, but reference is not made to the workspace, allowing the workspace to be free of restrictions. Our control framework, based on local control policies at the joint acceleration level, attracts actuated degrees of freedom (DOFs) to the desired final configuration; meanwhile, the resulting final states of the unactuated DOFs are viewed as an indirect consequence of the profile of the policies. Dynamical systems are used as acceleration policies, providing the actuated system with convenient attractor properties. The control policies, parameterized around imposed simple primitives, are deformed by means of changes in the parameters. This modulation is optimized, by means of a stochastic algorithm, in order to control the unactuated DOFs and thus carry out the desired motor behavior.