在某些细节水平上，任何一个适应界面，都要定义一个用户行为模型，提供一个能最大程度适合这个行为的交互行为。
Any adaptive interface has, at some level of detail, a model of the user's behavior that is refined, and provides an interaction that fits the behavior as best as it can.
提出 “用户行为-用户建模-个性化服务-再设计”的流程，作为用户行为模型驱动数字图书馆个性化服务的整体方案。
To propose a workflow including "User Behavior-User Modeling-Personalized Services-Redesign" as the overall program that user behaviour driven digital library personalized services.
我们所说的正确性是指，在考虑各种因素的情况下，流程模型的执行路线符合用户对流程行为的预期。
By correctness we mean how well the execution traces of the process model correspond to the user's expected behavior of the process under consideration.
模型更新后，视图也被更新，用户就能够完成更多行为。
After the Model is updated, the View is refreshed and the user can perform more actions.
控制器是将视图上的行为(例如，按下Submit按钮)映射到模型上的操作(例如，检索用户详细信息)。
The Controller maps actions performed on the View (for example, pressing a Submit button) to operations on the Model (for example, retrieving user details).
人物角色减少了对详细图形模型的需求，通过人物角色使用的叙述结构，能够更容易理解用户行为的很多细微差别。
Personas reduce the need for elaborate diagrammatic models; it's easier to understand the many nuances of user behavior through the narrative structures that personas employ.
使用Modeler，业务分析人员和其他非技术用户可以创建业务模型以对流程做文档记录，然后对模型进行模拟以了解动态行为。
Using Modeler, business analysts and other non-technical users can create business models to document their processes, then simulate the models to understand the dynamic behavior.
这一段文档基于视觉，行为特征，数据模型以及用户体验定义了应用程序的三个样式。
This document identifies three application styles, based on visual and behavioral characteristics, data model, and user experience.
设计团队首先完成角色设计，将其作为用户模型。这样能够帮助团队理解目标和出发点以及将来的用户的操作行为和特点。
Personas are model users that the team creates to help understand the goals, motivations, and behaviors of the people who will use the interface.
本文提出一个基于LEC方法的园区网用户行为危害评价模型，并介绍它在网络管理系统中的实际应用。
This paper presents a model of campus network user behavior hazard assessment based on the LEC method, and introduces its practical application on network management system.
设计团队首先完成角色设计，将其作为用户模型。这样能够帮助团队理解目标和出发点以及将来的用户的操作行为和特点。
The persona represents behavior patterns, helping the designer understand the flow of the user's day and how the interface will fit into it.
该模型不仅能够充分表达基于时间和空间的审计策略，还可以根据约束机制对系统用户行为进行实时监控。
The model could fully express audit policies based on time and space constraints, and monitor users' activities real-timely by using constraints mechanism.
动态物理模型以直观的物理方式动态、实时响应用户操作，具有物理特性与几何模型和行为模型相融合的特征。
Dynamic physical model makes dynamic and real time response to user operation in a visual physical way, and is the fusion of physical characteristics, geometric model and behaviour model.
因此，本文通过分析研究用户的视觉心理与行为特征，探讨设计师如何依照用户模型理论对手机进行和逸性设计。
Thus, the paper discusses how to design mobile phone according to user's model theory through analysis of users' visual psychology and behavioral features.
以一个简单的博弈模型，在理性人假定的基础上分析了热用户在不同的供热收费模式下的行为模式。
Based on the assumption of rational man, develops a game theory model on different heating charging modes and analyses the responses of users to different charging methods.
提出了一种数据库入侵检测模型，利用该模型对数据库审计信息进行挖掘，以发现代表合法用户典型行为的用户轮廓。
This paper presents a model of database intrusion detection system, which USES data mining on the audit data in database systems to derive user profiles that describe normal behavior of users.
文章提出了一种基于网络用户行为的相关页面挖掘模型。
This paper provided a model for mining related Web pages based on Web usage information.
我们正式通过指定这个直觉的网页浏览行为模型，然后推导的极大似然估计一个用户的社会形象。
We formalize this intuition by specifying a model of web browsing behavior and then deriving the maximum likelihood estimate of a user's social profile.
在对系统进行需求分析的基础上，采用ROSE构建了系统的用户需求模型、对象结构模型、行为模型和实现模型。
Beginning with the requirement analysis, several kinds of models have been built by ROSE. These models include user requirement model, object structure model, action model and implementation model.
然后从用户和网站的交互过程着手，研究了用户的搜索行为，总结出用户评价网站的一些标准，提出了用户满意度的评价模型和体系结构。
Then, beginning with the interaction between users and websites, this article makes a study of users searching behaviors, summarizes some evaluating criteria, and puts forward an evaluation framework.
为行为层次设计为行为层设计，意思是设计可以完善用户自己的行为、暗含的假设和心理模型的产品行为。
Designing for the behavioral level means designing product behaviors that complement a user's own behaviors, implicit assumptions, and mental models.
正常用户行为活动是随时间变化的，一个异常分析系统要能适应这种变化更新正常行为模型，避免误报警。
A analysis system must adaptive the changes in normal user behavior patterns and update normal profile to reduce the false alert.
介绍了模型中的一些关键技术，如模型工作原理、用户标识确定、访问资源分类、客户端浏览行为获取等。
Some key technology of this model is introduced, such as model's work principle and identify of user, classification of web page.
从风险与安全的角度提出一种新的用户行为决策模型，将服务提供者和用户作为非合作博弈的对立方，在不完全信息静态博弈的基础上研究博弈参与者之间的交互行为。
The service provider and the user are regarded as the two players in the non-cooperation games, and their interactions are analyzed based on static games model with incomplete information.
建立用户的行为模型，模拟用户使用服务时的真实行为，以用户的行为驱动测试过程，生成测试负载。
Modeling the user behavior; simulate the user behavior and base on this generate the workload of the test.
同时，模型引入声望的概念以表示用户的评价的客观性，从而规范用户的评价行为；
Reputation value is used in the model to indicate the objectivity of the user's evaluation, so as to encourage users to give objective evaluation.
在考虑网络中用户的路径选择行为满足概率型随机平衡的条件下，给出了交通网络设计的双层规划模型，同时设计了基于差分的启发式求解算法。
On the condition that the stochastic equilibrium restraints are satisfied as the network clients select the path, the author presents bilevel planning model for traffic network design.
分析正常用户接收行为特征，提出了基于接收的邮件用户代理行为过滤模型。
By analyzing normal user receiving behavior characteristics, spam filtering model based on the receiving MUA is proposed.
针对目前P 2 P网络模型中缺乏管理和监督机制这一缺陷，本文通过建立新型P 2 P网络模型并引入用户注册和评估系统，实现了对P 2 P网络用户及其网络行为的有效管理。
By proposing a new P2P network model and introducing user registration and user evaluating system into it, this paper effectively implements administration and supervision mechanism into P2P network.
通过实证分析可以得出以下结论：（1）强化模型和BBAM在一定程度、一定条件内都能较好的刻画用户网络文献检索行为；
The conclusions are drawed as following: (1) both reinforcement learning model and BBAM can fit the information searching behavior on web in given context;
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