基于简化ODP的用户兴趣模型

通过搜集搜索引擎用户的个人兴趣偏好,个性化搜索技术能够对搜索结果中的页面进行分析并与用户的兴趣进行比较,帮助用户从中找出更为感兴趣的结果,从而提高用户的搜索效率。通过利用简化的ODP目录层次结构进行训练以建立基本的用户兴趣树型结构,并在模型使用过程中通过用户的隐式操作反馈,对用户兴趣模型进行动态更新以反映用户不断变化的兴趣偏好。这一用户兴趣建模方法以简化的ODP结构为参考框架,并以用户个人的搜索行为作为模型修正和更新的依据,实现消除词条歧义并且表达用户个人兴趣偏好的目的。     

虚拟企业专业搜索引擎中个性化用户系统设计与实现

提出了一个由用户端和用户代理组成的个性化用户系统．用户可以通过它完成查询和对搜索结果的评价，同时用户系统还会根据对用户兴趣信息的总结，自动产生符合用户兴趣方向的虚拟企业黄页，从而大大提高搜索过程的个性化水平。     

基于SSPISIA数据收集的个人兴趣增量挖掘算法*

为提高搜索引擎的个性化信息检索能力,通过构建个人兴趣搜索智能agent子系统SSPISIA来搜集、组织、挖掘和应用用户的个人兴趣信息。着重介绍了SSPISIA的实现,包括逻辑组成、学习方式、工作过程以及基于页面浏览时间和内容选择的个人兴趣度量规则,并在此基础上给出了基于SSPISIA数据收集的个人兴趣增量挖掘算法。实验表明该结构和算法不仅能够反映用户的长期兴趣,而且能够跟踪用户的短期兴趣变化,具有良好的适应性,进而为实现搜索引擎的个性化信息检索奠定了基础。     

一种长短期兴趣结合的个性化检索模型

个性化信息检索针对用户个人兴趣优化文档排序,被认为是改善用户检索体验的一种有效途径。为提高个性化检索模型的检索性能,该文提出了一种将用户的长短期兴趣结合的通用方法,利用用户长期兴趣和短期兴趣对查询模型进行改进。大规模真实搜索日志数据上的实验结果显示,利用长短期兴趣能够获得准确表达信息需求的查询模型,相对于传统的个性化检索模型取得了更好的效果。
     

面向虚拟企业的智能化专业搜索引擎的研究与实现

搜索引擎在虚拟企业中不但能完成信息导航的功能，还能协助用户构建、管理企业联盟．该文提出了一个基于虚拟企业集成的个性化智能搜索体系，它不但利用强化学习技术实现搜索代理的搜索策略最优化，还通过利用专业强化因子和π算法实现专业代理间的协作来协助选择盟友，进而为虚拟企业的构建(重构)提供了有效的辅助手段．为提高搜索效率，该文针对企业个性化搜索的需求，为用户设计了客户端模块，并通过贝叶斯法推理和用户代理有力地保证了系统满足个性需求的能力．     

基于Web知识发现的图书数字资源个性化检索系统

在针对用户在Web上难以从海量的图书数字资源中找到符合需求的资料,本文设计实现了基于Web知识发现的图书数字资源个性化检索系统.该系统利用Web知识发现、智能代理、数据挖掘等技术,设计出用户登录模型、用户兴趣生成模块、优化搜索结果等模块,通过各模块的设计达成用户行为对兴趣度的影响,个性化模型的更新,以及搜索结果的处理,进一步提升了Web上图书数字资源的检索质量,期待通过本次研究,为同领域内的图书数字资源个性化检索服务的构建,提供一些有价值的参考资料.     

基于兴趣度和本体自适应学习的语义搜索算法研究

针对用户个人兴趣度偏好、本体有效信息利用不足、本体自适应学习能力差和基于单一策略的语义相似度搜索效率低等问题,提出一种基于兴趣度和本体自适应学习的语义搜索算法。在该算法中,首先利用本体信息共享含量和信息贴近均衡路径策略来进行本体语义相似度加权度量,并对用户的兴趣度进行偏好计算,然后利用本体评价模型,依据用户个性化偏好进行本体自适应学习,从而提高本体知识库的信息共享度。实验证明,该算法具有较高的查全率和查准率。     

基于微博扩展的用户兴趣主题挖掘算法

为解决基于微博的用户兴趣建模存在建模不全面的问题,提出一种基于微博扩展的用户兴趣主题挖掘算法。通过结合用户自身兴趣及用户关注人的兴趣来扩充微博用户兴趣,将兴趣分为长期兴趣、过期兴趣、近期兴趣,利用改进的TF． IDF算法分析相关微博内容,利用基于时间及文档频率加权的主题词重要度计算兴趣主题词得分,得出综合全面的用户兴趣。实验结果表明,综合分析用户及用户关注人的兴趣,可以有效得到真实、全面、包含潜在兴趣的用户个人兴趣。     

基于用户兴趣的个性化搜索系统研究

针对目前常用搜索引擎在查询时返回结果数量巨大且杂乱无章的现象,在Web客户端为实现对用户的个性化信息服务设计了一种基于用户兴趣的搜索系统。利用用户的兴趣对于用户提出的搜索条件进行处理,再通过常用的搜索引擎进行查询,并将得到的结果进行二次排序,同时通过反馈信息不断更新用户的兴趣,以满足用户不断变化的需求。实验证明这样在保证了查全率的基础上,提高了查准率,从而提高了搜索效率。     

基于跨系统的个性化搜索系统模型设计

用户模型的建立和动态更新,是实现个性化搜索的基础和核心。通过采用Multi-Agent技术对跨系统的个性化搜索系统进行设计,采用交互式Agent初始化单系统用户模型,使用动态跟踪用户兴趣Agent和历史记录检索Agent来更新用户模型,并利用SUM模型建立跨系统的用户模型。最后利用产生的用户兴趣文件作为查询优化Agent和结果优化Agent的判别依据来提高跨系统搜索的个性化。     

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。