一种基于本体的推荐系统模型

经典推荐系统主要根据用户对项目的评价或者用户与项目之间的关键字相似度进行推荐,存在信息结构化程度低、语义缺乏、信息利用不充分等问题。为此,提出一种基于本体的推荐系统模型。将本体引入到推荐系统中,使用OWL语言对用户和项目信息进行描述,使用户和项目具有语义信息的同时,提高信息的结构化描述水平。在推荐过程中,通过规则分析用户行为信息并综合考虑以提高模型的推荐质量。实验结果证明,与传统推荐模型相比,该模型在信息结构化水平、语义描述等方面具有优势。采用该模型为用户推荐项目能够有效提高推荐的召回率和准确率。     

基于本体用户兴趣模型的个性化推荐系统

针对传统个性化推荐系统用户兴趣模型创建和更新的不足,无法准确地感知用户特定背景下的语义信息和用户兴趣随着时间的变化,基于用户兴趣本体提出一种新用户兴趣模型,并通过激活扩展理论描述该用户兴趣模型的更新算法。同时,改进了推荐算法,结合协同过滤进行个性化推荐。实验结果表明,该模型能够有效反映用户兴趣,新的推荐算法在MEA、多样性、冷启动处理、稳定性方面都具备很高的性能。     

基于模糊兴趣模型与多Agent的个性化推荐系统

提出了基于模糊兴趣模型与多Agent的个性化推荐系统框架,通过引入用户模糊兴趣模型,使以Agent为基础的推荐系统无法通过隐式收集用户对商品属性评价的问题得到解决,并且在客户端收集并挖掘用户的私有信息,然后从服务器中获取用户感兴趣的信息,最后生成并更新UserProfile。     

一种动态混合QoS语义的Web服务个性化推荐模型

服务推荐是服务计算中的主要问题之一,当前大多针对功能属性进行推荐,而在Web服务的QoS属性方面考虑较少,并且不支持动态变化的QoS属性。基于动态混合QoS的语义Web服务个性化推荐模型,把语义Web技术引入Web服务中,在QoS监控器下,有效监测Web服务的QoS属性变化并动态更新Web服务的QoS属性。根据建立的用户兴趣模型,向用户推荐具有个性化的Web服务。此外,在个性化推荐系统中使用最广泛的协同过滤推荐技术基础上,对数据进行了一系列的预处理填充,而且充分考虑了不同时间的项目评分对推荐的影响。结合用户兴趣度和用户评分的相似性计算方法,并通过不同的权值来表示它们的重要程度,综合计算目标用户的最近邻居集合,最终对用户u产生推荐。该系统在一定程度上提高了服务推荐的效率和准确度并满足用户查询需求。     

基于模糊概念图的文档聚类及其在Web中的应用

随着World Wide Web上数据量的日益庞大,现有的搜索引擎已经不能满足用户日益增长的需求.利用数据挖掘技术,提高搜索效率,实现了查询的用户化.首先提出了模糊概念图的模型来描述词语间的关系,然后在聚类过程中引入概念知识,提出了基于模糊概念图的文档聚类算法,通过分析用户的浏览行为发现兴趣模式.在上述技术的基础上,给出了一种用户化的智能搜索系统的实现策略,通过分析概念间的关系和用户的兴趣模式,评价超链/文档和查询的相关程度,从而帮助用户得到更准确的信息.     

教育网站个性化推荐系统中的一种用户兴趣模型的建立

用户兴趣模型用于描述用户的个人信息、专业背景、偏好倾向和历史行为等,通过这些信息,系统可以发现和预测用户的信息需求,从而对用户进行个性化的信息推荐服务.用户兴趣模型是影响推荐系统服务效率的重要因素,因此针对用户兴趣进行建模是个性化推荐系统实现中要重点考虑的问题之一.本文从教育网站用户对象特点出发,提出了将用户兴趣分为固定兴趣与临时兴趣相结合的动态模型.     

一种基于领域本体的用户建模方法

针对当前大多数个性化服务系统的不足,以旅游领域为背景,提出了一种新的基于本体的用户模型构建方法,利用领域本体中的概念、实例和属性描述用户兴趣特征,实现了在语义层次上理解用户兴趣。实验表明,该方法能有效提高用户模型的质量。     

基于网络分割聚类的标签语义规范化推荐算法

传统的推荐算法多以用户评分数据计算用户的兴趣偏好以及资源相似度,对稀疏数据以及新用户的推荐质量较低。考虑到用户标签数据的随意性和语义模糊性,提出基于标签网络分割聚类的语义规范化方法并建立基于规范化标签的用户兴趣模型。该模型能在不改变用户兴趣的前提下有效降低用户标签兴趣模型的向量维数,并能避免分析标签语义的复杂过程,且能根据用户自身的理解来获取用户兴趣。最后将标签兴趣模型应用到推荐算法中。通过与经典的推荐算法进行比较,验证了该算法能有效缓解数据稀疏性、推荐冷启动问题,提升了推荐结果的准确性,能获得更好的推荐效果。     

时间加权的混合推荐算法

提出了一种基于时间加权的混合推荐方法。该方法分为离线和在线两个阶段,离线阶段根据目标用户对物品的评价等信息得到与目标用户有相似兴趣的邻居,并构建物品描述模型;在线阶段根据目标用户和邻居用户的评价行为构建用户描述模型。由于用户兴趣会随外部因素而产生概念漂移,因此在算法中引入衰减系数以提高推荐质量。在滑动窗口模型下,每隔一定时间间隔,更新用户模型和相似群组,产生个性化的推荐。实验结果表明,该算法能实时反映用户兴趣,提高推荐系统的准确率,有较高的用户满意度。     

教育网站个性化推荐系统中的一种用户兴趣模型的建立

用户兴趣模型用于描述用户的个人信息、专业背景、偏好倾向和历史行为等，通过这些信息，系统可以发现和预测用户的信息需求，从而对用户进行个性化的信息推荐服务。用户兴趣模型是影响推荐系统服务效率的重要因素，因此针对用户兴趣进行建模是个性化推荐系统实现中要重点考虑的问题之一。本文从教育网站用户对象特点出发，提出了将用户兴趣分为固定兴趣与临时兴趣相结合的动态模型：     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。