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- User model matches system image. 用户模型和系统图像符合。
- We call these user models personas. 用户的行为如何?
- First,learning-based CNP(Contract Network Protocol) is used to get the initial user model. 通过基于观察的学习获得本次登录后用户的新模型。
- It can describe the uncertainty or imprecision in user modeling, and it doesn"t need any priori information beyond the data set that to be dealt with. 利用粗糙集理论为用户建模可以描述用户模型中的不精确性和不完全性，并且无需提供问题所需处理数据集合以外的任何先验信息。
- Semiring-based soft constraints are then used to represent various user preferences by considering the user modeling as an imposed process of preference constraints in decisi. 同时采用基于半环的软约束满足问题来表示用户的各类偏好特征,将用户建模看成是在潜在方案空间上施加一系列偏好约束的过程。
- By using of BP neural networks,have established a user model based on those key factors which can be used in the design of the humanized web interface. 基于这些决定性因素,用神经网络的方法建立了一个用于个性化网站界面风格和布局设计的用户模型。
- Due to the uncertainty or imprecision in user model, we can introduce the theory of rough set to user modeling.The main contributions of this paper are: 1. 由于用户模型本身会具有的一些不确定性和不精确性因素，因此我们完全可以将粗糙集理论引入到用户建模中，利用粗糙集理论对用户建模。
- In Chapter 3 it gives the details of the user modeling,adaption,the vectoring of documents and the recommendation algorithm of the recommendation system in Fudan University’s digital library. 在第3章详细介绍了复旦大学图书馆个性化推荐系统的用户建模、自适应更新、文档向量化和推送算法等关键技术。
- The user models the business process and defines the rules that the applications should follow to make it work. 用户为业务流程建立模型，定义应用程序如能工作应该遵循的规则。
- Abstract This paper states the Ontology mapping method of the intelligent retrieval system based on the user model, puts forward and describes the improved framework of Ontology mapping system. 摘要阐述智能检索中基于用户模型的本体映射方法，提出在实现智能检索系统目的下引入用户模型的改进的本体映射框架。
- Our experience is that, regardless of a lack of research, using provisional personas yields better results than no user models at all. 我们的经验是，尽管缺少了研究过程，采用临时的人物角色仍然会比完全没有用户模型要产生较好的结果。
- Then, the whitened dimension-reduced data vector as a single user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched. 将白化滤波后的降维数据矢量看作是单用户的系统，研究了迭代最小二乘(ILS)检测和最小均方误差(MMSE)检测。
- We will discuss the differences between segmentation models and user models in more detail in Chapter 5. 我们在第5章会更加详细地讨论市场划分模型和用户模型。
- We propose the following techniques to tackle the above issues: ontology, user models, website models, and data aggregation and proxy mechanisms. 提出的技术包括：本体论、使用者模式、网站模式、以及资料整合与代取机制。
- Personas are user models that are represented as specific, individual human beings. They are not actual people but are synthesized directly from observations of real people. 人物角色作为用户模型能够代表具体的个体，他们并不是实际的人，但其直接从对实际的人观察过程中综合而来。
- Diana is modeling for a fashion show. 戴安娜正在时装表演会上当模特。
- Personas are user models that are represented as specific, individual human beings . They are not actual people but are synthesized directly from observations of real people. 人物角色作为用户模型能够代表具体的个体，他们并不是实际的人，但其直接从对实际的人观察过程中综合而来。
- So in this paper, the research on user models is most important.In Chinese, character compartmentation is very important in user interests models, but it is often neglected, too. 另外,在中文环境下,用户兴趣建模当中一个很重要的内容就是中文分词,这也是个性化服务时人们常常忽略的一个方面,但在实际应用中,分词的质量决定着个性化服务的质量。
- Industry is a heavy user of electric power. 工业需耗费大量的电力。
- By visualizing inner representations of user models, a cognitive ergonomic experiment was carried out to study the relationship between mental models and operation performance. 摘要以用户模型内部表征的视觉化为基础，对用户的心智模型与操作绩效进行了认知人机实验研究。
