基于.NET的身份验证和角色授权模型的研究与实现

为了提高用户身份认证和授权管理的灵活性，从Web应用系统的安全性角度出发，讨论了一种在．NET Framework下保证应用程序安全性的身份验证和授权模型，并给出了模型的具体实现方法。该模型利用Forms身份验证方法对用户的身份进行鉴别。在授权处理上，模型结合统一资源定位（Uniform Resource Locator，URL）授权模式和用户所具有的系统角色，分别从页面级和页面操作级对用户的访问进行控制。该模型在企业局域网环境内能够提供比较灵活的身份认证和基于角色的授权服务。实际应用表明，基于该模型的Web应用系统能够对用户的访问进行有效的控制，从而保证了系统的安全性。     

电子商务个性化推荐服务过度的解决方案

个性化服务日益成为人们关注的焦点,其中个性化推荐服务也是研究的热点,在个性化推荐服务提供的过程中需要避免服务过度的情况。文中基于Web挖掘技术在电子商务个性化推荐服务中广泛运用,分析了用户兴趣模式构建的过程以及在电子商务个性化推荐服务中的应用。继而从隐私泄露和个性化信息过载角度探讨个性化推荐服务过度的问题。最后提出了通过改进个性化服务过度的挖掘过程、改善用户兴趣模式构建、建立规范和主动提供服务的解决方案。     

基于语义Web服务的智能电信业务模型

该文针对电信业务领域用户需求多样化的实际情况,将互联网领域语义Web服务模型进行完善,提出了基于语义Web服务的智能电信业务模型。在模型中,设计了电信业务领域本体库,实现了电信业务领域知识的共享;提出了基于本体的用户个性数据库,利用本体的天然推理特性加强对用户个性的挖掘;引入了智能代理,将用户从浩淼的服务选择中解放出来。设计了语义转换XSLT代码生成模块提高了语义Web服务描述效率。该模型已经在实际的测试环境中得到验证,最后以流媒体业务为例,说明了该模型的工作原理。     

基于Web挖掘的电子商务推荐系统研究

基于Web挖掘的个性化推荐技术已在电子商务网站取得了较为广泛的应用,但在具体的过程中还存在较多的问题。文章首先从电子商务中的数据源和Web挖掘技术出发,介绍当前推荐系统的应用技术,分析现有的电子商务个性化推荐系统的优点及存在问题。提出了建立多模块个性化推荐和基于隐私保护模块的电子商务个性化推荐系统,并针对不同用户类型采用不同的推荐策略,实现完全个性化推荐系统。     

面向NGB互动电视业务的用户消费偏好智能推荐模型设计与实现

高清、互动是下一代广播电视网(NGB)建设过程中的一个关键主题,NGB互动电视业务是“三网融合”时代广电运营商的主推核心业务,然而从用户体验和业务运营的角度出发,如何在海量媒体内容中挖掘和引导用户潜在需求,是关键环节.本文从现网运营的用户交易数据和媒体资源属性信息数据入手,挖掘用户个性化服务消费偏好,设计基于用户消费偏好的智能推荐模型,探讨了在现网系统的基础上集成应用智能推荐系统的方法,并进行了示范应用.希望能为各广电运营商在NGB互动电视业务中应用智能推荐技术提供参考.     

数据隐私保护的社会化推荐协议

基于邻域的社会化推荐需要同时依赖用户的历史行为数据和完善的社交网络拓扑图,但通常这些数据分别属于不同平台,如推荐系统服务提供商和社交网络服务提供商。出于维护自身数据价值及保护用户隐私的考虑,他们并不愿意将数据信息提供给其他方。针对这一现象,提出了2种数据隐私保护的社会化推荐协议,可以在保护推荐系统服务提供商和社交网络服务提供商的数据隐私的同时,为用户提供精准的推荐服务。其中,基于不经意传输的社会化推荐,计算代价较小,适用于对推荐效率要求较高的应用;基于同态加密的社会化推荐,安全程度更高,适用于对数据隐私要求较高的应用。在4组真实数据集上的实验表明,提出的2种方案切实可行,用户可以根据自身需求选择合适的方案。     

应用OWL-S实现Web服务合成的语义描述

从Web服务合成的角度出发，研究了Web服务的语义描述，从Web服务的语义描述语言OWL-S的结构入手，详细介绍了应用OWL-S实现服务合成的建模过程的语义描述的方法．并通过一个行程安排的实例进行具体的分析。     

移动内容大有可为

亚洲的电信公司正在其提供的服务中不断增加Web·2.0的应用,部分原因是为了提高用户的忠诚度,并复制基于Web的·UGC(user-generated·content,用户产生内容)及社会化网络服务的成功。     

走进移动的世界：移动内容大有可为

亚洲的电信公司正在其提供的服务中不断断Web2.0的应用，部分原因是为了提高用户的忠诚度、并复制基于Web的UGC（user-generated content,用户产生内容）及社会化网络服务的成功。[编者按]     

Web服务在CATV管理系统中的应用

从一个管理系统实例出发,探讨了Web服务(Web service)在广电网络公司计算机管理系统中的应用,简单介绍了Agent技术和Web服务技术.建立了一个Agent Web服务的框架(AWS),讨论了其在CATV管理系统中的功能和作用以及它的扩展应用.     

基于混杂社会网络的个性化Web服务推荐方法

为了缓解Web服务推荐中存在的冷启动和数据稀疏问题,以及满足用户个性化的需求,本文提出了基于混杂社会网络的Web服务推荐框架及算法.该网络加入了服务提供者这一元素,可提供更多的真实信息,有助于缓解冷启动问题.根据提出的服务推荐框架,设计了用户-候选服务信任值预测算法（Computing Trust Value,CTV）,以及服务推荐算法（Recommend Queue,RQ）.在真实数据集上建立实验,结果表明本文提出的方法在预测准确率MAE、RMSE,推荐准确率MAP、NDCG,以及填充率和覆盖率上都有所提高,有助于提升个性化推荐的性能.     

BPR-UserRec:a personalized user recommendation method in social tagging systems

Social tagging is one of the most important characteristics of Web 2.0 services, and social tagging systems (STS) are becoming more and more popular for users to annotate, organize and share items on the Web. Moreover, online social network has been incorporated into social tagging systems. As more and more users tend to interact with real friends on the Web, personalized user recommendation service provided in social tagging systems is very appealing. In this paper, we propose a personalized user recommendation method, and our method handles not only the users’ interest networks, but also the social network information. We empirically show that our method outperforms a state-of-the-art method on real dataset from Last.fm dataset and Douban.     

基于社会网络面向个性化需求的可信服务推荐

在当前服务计算和社会计算背景下,针对难以获取满足用户个性化需求的可信Web服务问题,给出基于社会网络面向个性化需求的可信Web服务推荐模型;设计用户个性化功能需求分解与匹配算法,并利用语义词典提高功能需求语义匹配的准确性;基于个性化功能需求、社会网络节点信任度及服务信任度,设计了一种满足用户个性化需求的可信服务推荐算法,通过对社会网络节点之间、节点与服务之间的信任相关性进行分析,提高服务协同可信推荐性能。算法分析及实验结果表明该方法是有效和可行的。     

The communication model for real‐time web service in telecom domain

Development of services that span over the Internet and Telecom networks is driving significant efforts towards the integration of services offered by Telecom operators. The telecommunications R&D community also starts adapting and developing similar service delivery platforms to offer a wide range of new value‐added services faster and more cost efficiently inspired by the success of Web service technologies for the development and deployment of IT services. In this paper, we have an analysis for Telecom Web services communication requirements and also propose Telecom Web services communication model considering the specific characteristics as state, asynchronous, event‐driven communications in Telecom domain. We focus on the design and implementation details for real‐time Web service communication model in Telecom domain, and as the framework of communication model for Telecom Web services, the enhanced state machine design and implementation, and the messages dispatching design and implementation for Telecom Web services communication model, and also illustrate the third party end call control scenarios. Finally, we give the conclusion and future essential work. Copyright © 2009 John Wiley & Sons, Ltd.     

Towards machine-learning-driven effective mashup recommendations from big data in mobile networks and the Internet-of-Things

A large number of Web APIs have been released as services in mobile communications, but the service provided by a single Web API is usually limited. To enrich the services in mobile communications, developers have combined Web APIs and developed a new service, which is known as a mashup. The emergence of mashups greatly increases the number of services in mobile communications, especially in mobile networks and the Internet-of-Things (IoT), and has encouraged companies and individuals to develop even more mashups, which has led to the dramatic increase in the number of mashups. Such a trend brings with it big data, such as the massive text data from the mashups themselves and continually-generated usage data. Thus, the question of how to determine the most suitable mashups from big data has become a challenging problem. In this paper, we propose a mashup recommendation framework from big data in mobile networks and the IoT. The proposed framework is driven by machine learning techniques, including neural embedding, clustering, and matrix factorization. We employ neural embedding to learn the distributed representation of mashups and propose to use cluster analysis to learn the relationship among the mashups. We also develop a novel Joint Matrix Factorization (JMF) model to complete the mashup recommendation task, where we design a new objective function and an optimization algorithm. We then crawl through a real-world large mashup dataset and perform experiments. The experimental results demonstrate that our framework achieves high accuracy in mashup recommendation and performs better than all compared baselines.     

基于服务计算的服务组合研究

通过分析现有Web服务组合系统的组合方式及特点,将服务计算引入到Web服务组合领域,提出了基于服务计算的Web服务组合系统方法,设计了基于服务计算的服务组合模型。通过松散耦合的服务组合模型来实现Web服务组合,可为服务消费者提供一个适当的、开放的、按需配置的安全的Web服务组合环境。     

基于Bootstrap技术的Web服务QoS值的置信区间估计和预测

目前对Web服务QoS（Quality of Service）的预测研究,通常预测QoS的静态值,很少预测QoS值的置信区间.本文借助非参数统计学的Bootstrap技术,提出估计Web服务QoS值置信区间的方法;然后利用与当前Web用户相似的其他Web用户调用待预测Web服务的QoS历史数据,预测当前Web用户调用待预测Web服务的QoS值的置信区间.本文估计了WSDream数据集1中每个用户调用每个Web服务的QoS值的置信区间,实验发现这些置信区间的上下限近似服从重尾分布.通过随机选择WSDream数据集1中60%到90%的用户和Web服务作为训练集,预测另外10%到40%的用户和Web服务的QoS值,实验结果表明预测的QoS置信区间与估计的QoS置信区间的平均覆盖率超过70%,最高达76%.在服务选择或服务推荐时给用户提供一个估计的或预测的QoS置信区间,可以更好地满足用户的个性化需求.     

Web Services and Service-Oriented Application Provisioning: An Analytical Study of Application Service Strategies

As a new network computing technology, Web services help reduce application integration cost and have become the foundation for the next generation of service-oriented architecture. While there is ample research on the technological issues of Web services, little has been done thus far on the business implications of this groundbreaking technology. In this paper, we attempt to close this research gap by comparing three application service strategies for providing Web services of complementary functionalities, i.e., independent service vendors (ISVs), joint venture (JV), and strategic alliance (SA). Although Web service integration is analogous to product bundling, the unique features of software integration, such as low integration cost and the possibility of creating an integrated Web service with new functionalities, have led to interesting analytical results not seen in the product bundling literature. We find that the optimal application service strategy is determined by several factors, including the integration cost, the valuations, and market potentials of the individual and integrated Web services. Our study shows that the application service strategy of ISVs is always dominated by the SA, implying that Web service providers benefit from the increased interoperability of Web services. In cases where the integrated Web service is highly valuated and the integration cost is small, JV becomes the optimal application service strategy. In other cases, the Web service providers are better off to form SAs     

Privacy-aware RBAC model for web services composition

Web services collaborative environments are highly automatic, dynamic, and heterogeneous. These characteristics always lead to high risks of services for interaction participants. Hence, it becomes one of the most important things to guarantee that the private information in cross-domain services is not illegally collected, used, disclosed or stored when the Web services are required to combine secure composition. This paper proposes the privacy-aware role based access control model for Web services composition (WSC-PRBAC), which provides protection for private data of users in composite service. The element services are divided into local services and outside services. Because the local service is authorized by users, it is exactly different from other services in the composition. To avoid sending private information to other outside services directly, we define global roles to help access these data in local service. Using global roles can realize a more strict control of the private data. In the end, the experiment and analysis of the proposed model show its and efficiency.     

Research on user-aware QoS based Web services composition

To improve user experience of composite Web services, a user-aware quality of service (QoS) based Web services composition model is proposed. Under such model, a Web services selection method based on quantum genetic algorithm is proposed. This algorithm uses quantum bit encoding, dynamic step-length quantum gate angle adjustment, neighborhood service search and dynamic punishment strategy to expand search scope and speed up convergence. Simulation experiment shows that this algorithm is more efficient than other existing algorithms in Web services selection.