MAPIS,a multi-agent system for information personalization

In the domain of multi-user and agent-oriented information systems, personalized information systems aim to give specific and customized responses to individual user requests. In addition to the ability to analyze user needs and to retrieve, understand and act on distributed data that is offered by any agent-oriented system, multi-agent systems also offer interesting possibilities for interaction, particularly with regard to information sharing and task coordination. Our approach exploits these interactive possibilities in order to make the system capable of personalizing information. In addition, reusable models at both the social and individual levels were chosen for this approach in order to facilitate subsequent information system design. With these two ideas in mind, several models of agent interaction (social) and the internal activity cycles (individual) have been proposed with the aim of creating a multi-agent system for information personalization.     

一个基于VSM的个性化信息推荐系统

为了帮助用户从Internet上方便地获得信息，针对Proxy用户环境设计了一个信息推荐系统。先通过Proxy日志挖掘获得用户兴趣，再根据向量空间模型为用户生成兴趣特征，并据此对用户进行信息推荐。系统通过服务评估和反馈来保证信息推荐的质量。     

Program transformations and algebraic semantics

We study transformations and equivalences of recursive program schemes. We give an optimization algorithm which recognizes and removes all parts of a program scheme which do not affect its final output. This result leads to a syntactic way of suppressing some erroneous loops in programs and can be used to prove that equivalence of recursive program schemes is solvable under particular conditions.     

Profiling information technology users: en route to dynamic personalization

This study describes the initial stages in the development of a Technology Profile Inventory (TPI) and its potential use in a variety of contexts, including dynamic personalization. The initial version of the TPI was constructed based on the responses of 318 participants. Factor analysis was used to establish the major components of individuals' attitudes toward information technology. The factors extracted demonstrate the utility of updating measures of computer attitudes to include items related to the Internet and to a broader range of attitudes. The factors of the TPI were correlated with a variety of demographic and usage variables. Gender differences were found for most TPI factors, though not for approval of information technology, and possible explanations of these differences are discussed. Correlations with usage variables provided both convergent and divergent validation, as both past experience and present use of computers and the Internet were associated with more positive TPI attitudes, but cellular phone use was unrelated to all TPI factors.     

Product architecting for personalization

Personalization is an emerging manufacturing paradigm whereby customers can tailor products to their individual needs while maintaining high production efficiency. This paradigm necessitates “personalized product architecting” for determination of customizable/personalizable product modules and cost-effective manufacturing methods. This paper presents an initial effort in developing a method for identifying appropriate product architectures and manufacturing resolutions to achieve personalization considering functional utility and manufacturing cost. Ergonomic experiments and conjoint analysis are implemented to build functions relating manufacturability, price, and utility. Using these functions, a case study based on shoe products is conducted and the common integer programming welfare problem is expanded to a mixed-integer programming optimization problem for determination of a product family incorporating both personalized and customized offerings.     

Encoding visual information using anisotropic transformations

The evolution of information in images undergoing fine-to-coarse anisotropic transformations is analyzed by using an approach based on the theory of irreversible transformations. In particular, we show that, when an anisotropic diffusion model is used, local variation of entropy production over space and scale provides the basis for a general method to extract relevant image features     

Development of an adaptive learning system with two sources of personalization information

Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization information, that is, learning behavior and personal learning style. To determine the initial learning styles of the students, the [Keefe, J. W. (1987). Learning Styles: Theory and Practice. Reston, VA: National Association of Secondary School Principals.] questionnaire is employed in our approach. To more precisely reflect the learning behaviors of each student, the interactions and learning results of each student are analyzed when adjusting the subject materials. Based on the innovative approach, an adaptive learning system has been developed; moreover, an experiment was conducted to evaluate the performance of our approach. By analyzing the results from three groups of students using different adaptive learning approaches, it can be found that the innovative approach is helpful in improving both the learning achievement and learning efficiency of individual students.     

Cryptographic transformations of non-shannon sources of information

Existing methods of modelling cryptosystems and their cryptographic security are considered. The construction of cryptographic transformations for Kolmogorov sources of information is investigated. A new computational model of cryptosystems is proposed. New asymmetric cryptosystems are investigated that are ideally resistant in this model.     

Program models for diagnosis of information control systems

A problem of developing diagnosis procedures, which is posed when creating system software, is discussed. Most often, the procedures consist in using test programs. However, for the information-measuring and information-control systems, the functional diagnosis programs that test the system in the course of problem solving are proved useful. An approach to developing such programs based on the system model is proposed.     

Applying CIM-to-PIM model transformations for the service-oriented development of information systems

Context

Model-driven approaches deal with the provision of models, transformations between them and code generators to address software development. This approach has the advantage of defining a conceptual structure, where the models used by business managers and analysts can be mapped into more detailed models used by software developers. This alignment between high-level business specifications and the lower-level information technologies (ITs) models is crucial to the field of service-oriented development, where meaningful business services and process specifications are those relevant to real business scenarios.

Objective

This paper presents a model-driven approach which, starting from high-level computational-independent business models (CIMs) - the business view - sets out guidelines for obtaining lower-level platform-independent behavioural models (PIMs) - the information system view. A key advantage of our approach is the use of real high-level business models, not just requirements models, which, by means of model transformations, helps software developers to make the most of the business knowledge for specifying and developing business services.

Method

This proposal is framed in a method for service-oriented development of information systems whose main characteristic is the use of services as first-class objects. The method follows an MDA-based approach, proposing a set of models at different levels of abstraction and model transformations to connect them.

Results

The paper present the complete set of CIM and PIM metamodels and the specification of the mappings between them, which clear advantage is the support for the alignment between high-level business view and ITs. The proposed model-driven process is being implemented in an MDA tool. A first prototype has been used to develop a travel agency case study that illustrates the proposal.

Conclusion

This study shows how a model-driven approach helps to solve the alignment problem between the business view and the information system view that arises when adopting service-oriented approaches for software development.     

A cognition-centered personalization framework for cultural-heritage content

User Modeling and User-Adapted Interaction - The heterogeneity of the audience of cultural heritage institutions introduces numerous challenges to the delivery of the content. Considering that...     

Preference-driven personalization for flexible digital item adaptation

The delivery of multimedia content often needs the adaptation of the content in order to satisfy user constraints. With the Digital Item Adaptation part, the MPEG-21 standard already defines a useful frame-work to handle this task. However, in modern service-oriented architectures the functionality of adaptation is split over several services. Hence, the central instantiation of a suitable service chain needs to tackle a complex multi-objective optimization problem. In this problem between content choice and possible adaptations the current preference model in the MPEG-7/21 standard still lacks expressiveness. In the course of this paper we demonstrate this shortcoming and how the integration of more powerful models can ease the instantiation problem. Furthermore we explain how to efficiently evaluate preference trade-offs by evaluating skyline queries as currently investigated in the field of information systems. As a running example we use preference-based content adaptation in a typical media streaming application with Web services as basic modules. The contribution of our framework is to enable a central coordinator to instantiate an executable service composition chain by integrating all needed Web services to adapt the multimedia content in the best possible fashion in the sense of Pareto optimality. This work was supported in part by the German Research Foundation (DFG) within the Emmy-Noether Program of Exellence.     

基于Web使用挖掘的个性化系统

Web个性化在信息量巨大的互联网中显得越来越重要.针对一般聚类算法不可以用于在线预测的缺点,提出了一个实现个性化的实时聚类算法,并对个性化系统模型进行了设计,使模型不但能实时提供个性化服务,还可以根据用户的短期浏览变化对个性化服务进行调整.最后通过实验系统验证了模型的准确性.     

一种基于变长聚类的个性化匿名保护方法

针对链接攻击导致的隐私泄露问题,以及为了尽可能减少匿名保护时产生的信息损失,提高发布数据集的可用性,提出一种面向个体的基于变长聚类的个性化匿名保护方法。该方法充分考虑记录权重值对聚类簇中心结果的影响,以提高数据的可用性,并对敏感属性值进行分级处理,将敏感属性值分成三个等级类,响应不同个体的保护需求。理论分析和实验结果表明,该方法能满足敏感属性个性化保护需求,同时可有效地降低信息损失,效率较高,生成的匿名数据集具有较好的可用性。     

仿射变换虚实配准的空间信息增强表达

伴随着移动GIS和可穿戴计算的出现,GIS作业空间被拓展到户外,户外增强现实空间信息表达致力于将虚拟空间信息叠加到真实地理场景上,增强、拓展用户对地理场景的认知。为了有效地降低空间信息增强表达的虚实配准误差,汲取计算机视觉中的算法思想,提出通过建立全局仿射坐标系,解算虚拟物体到真实场景图像的投影坐标,找到获取像素相对深度参数的方法,进而避开相机定标这个复杂过程,最终为户外增强现实系统提供位置相关的信息源,也为空间信息可视化表达提供了新界面。     

Scale transformations and information presentation in supervisory control

It is commonly accepted that designers of supervisory control systems cannot comprehensively anticipate operators’ information needs. In order to compensate the lack between the information presented by the supervisory control system and the information needed, operators tailor the information presentation.Currently, there is a lack of theoretical understanding of tailoring activities and hence fundamental principles for the design of supervisory control systems that support tailoring activities in a systematic manner.Any data being presented to the operator is on one of the four different scale types proposed by Stevens. The scale type of data is determined by how values are assigned to the dimensions of the system being supervised and each scale type specifies a set of operations that can be legitimately applied to data on this scale type.Based on the concept of scale transformation the paper proposes systematic principles for operator-initiated adaptation of the interpretation of system properties as presented by the supervisory control system. The value of the approach is illustrated by means of examples.     

个性化服务中用户近期兴趣视图的生成

随着时间和环境的改变,Web用户的兴趣也会随之改变,在信息服务中应该能捕获到用户的这种近期兴趣变化以便能为用户提供更好的个性化服务。对现在描述网页的特征片技术中的关键词权重的计算做了改进以更加准确地描述网页,给出了利用行为分析得到网页兴趣度的方法,进而给出了根据某领域的标准分类树形成网页分类树,并最终生成能准确表示用户近期兴趣的兴趣视图的新方法。以此进行个性化推荐也更加有效。     

A hybrid similarity measure of contents for TV personalization

Similarity measure of contents plays an important role in TV personalization, e.g., TV content group recommendation and similar TV content retrieval, which essentially are content clustering and example-based retrieval. We define similar TV contents to be those with similar semantic information, e.g., plot, background, genre, etc. Several similarity measure methods, notably vector space model based and category hierarchy model based similarity measure schemes, have been proposed for the purpose of data clustering and example-based retrieval. Each method has advantages and shortcomings of its own in TV content similarity measure. In this paper, we propose a hybrid approach for TV content similarity measure, which combines both vector space model and category hierarchy model. The hybrid measure proposed here makes the most of TV metadata information and takes advantage of the two similarity measurements. It measures TV content similarity from the semantic level other than the physical level. Furthermore, we propose an adaptive strategy for setting the combination parameters. The experimental results showed that using the hybrid similarity measure proposed here is superior to using either alone for TV content clustering and example-based retrieval.