基于众包感知的OTT业务体验影响因素分析

随着移动互联网和OTT （Over-the-top）业务的高速发展,传统以网络为中心的运维方式难以为继,因此如何提高用户业务体验、变革传统网络质量的评价和优化方法迫在眉睫。本文围绕基于终端侧业务感知大数据进行网络和业务质量评价这一新型网络评价与运维作业模式,首先对影响端到端用户业务感知的因素进行了较全面的剖析;并利用从普通用户终端上采集的现网真实的海量业务感知数据,重点针对网页浏览这一代表性的OTT业务,从多个不同的维度深入研究影响业务感知的关键因素,以及关键业务感知指标间的关联关系,揭示了OTT业务感知的关键影响因素间的内在联系。研究结果对于进一步分析业务感知质差成因、合理构建用户体验质量（Quality of experience,QoE）映射模型等具有很好的参考价值。     

The modified Kansei Engineering-based application for sustainable service design

Considering the human-centered design, this paper shows a modified-integrated approach of how to quantify the impact of perceived Kano's attractive services on perceived emotional satisfaction (Kansei), followed by the formulation of innovative ideas for sustainable services using TRIZ (known as Theory of Inventive Problem Solving). The Kano's attractive service attribute is deemed to be a significant emotional booster (known as Kansei). Kansei Engineering (KE) is used to highlight the level of customer emotional satisfaction due to perceived service offerings. For the past seven years, there has been a rapid concern in Kansei Engineering (KE) in services. However, previous research of KE has mainly focused on the improvement and analysis of general service domains. There is little attention to sustainable services. Hence, this study provides a modified KE-based approach and aims to understand and satisfy customer emotional needs (Kansei) considering the social, environmental and economic performance. An empirical study in an international airport lounge and lobby services was conducted to confirm the applicability of the proposed model. Purposive sampling through in-depth-interview and face-to-face questionnaires which involved 100 valid subjects was used. Theoretically, these studies show the importance of Kansei's role in sustainable service development, highlighting more innovative and breakthrough solutions with less contradiction and “true-meaning” of Kansei. Practically, it provides a guideline for service designer and manager in identifying which attractive-based service attributes need to be prioritized considering Kansei satisfaction.     

全视角特征结合众包的跨社交网络用户识别

随着互联网的普及和不断发展,用户通过多个社交网络进行社交活动,使用社交网络带来的丰富内容和服务.通过识别出不同社网上的同一用户,可以有助于进行用户推荐、行为分析、影响力最大化,因而显得尤为重要.已有方法主要基于用户的结构特征和属性特征来识别匹配用户,大多仅考虑局部结构,并且受已知匹配用户数量的限制.基于此,本文提出了一种基于全视角特征结合众包的跨社交网络用户识别方法（OCSA）.首先,利用众包来提高已知匹配用户的数量,接着,应用全视角特征评价用户的相似度,以提升用户匹配的准确性,最后,利用两阶段的迭代式匹配方法完成用户识别工作.实验结果表明该文提出的算法可显著提高用户识别的召回率和准确率,并解决了已知匹配用户数量不足时的识别问题.     

车联网中基于位置服务的个性化位置隐私保护

随着车联网的快速发展,用户享受车联网提供的位置服务(location-based services,LBSs)时,位置隐私泄漏是一个关键安全问题.针对车载网络中位置服务隐私泄露问题,提出了一种基于差分隐私的个性化位置隐私保护方案,在保护用户隐私的前提下,满足用户个性化隐私需求.首先,定义归一化的决策矩阵,描述导航推荐路...     

Exploring users’ switching intention and behavior on social networking sites: Linear and nonlinear perspectives

The increasing integration of computers and networks into society has profoundly affected our lives in recent years. In Taiwan, use of SNSs – especially Facebook – has become the main action for the Internet users; accordingly, a number of scholars have explored people's intention to use, or actual use of, SNSs. However, few studies have investigated how and why users stop using one SNS and begin using another from the linear perspective. The findings are incomplete for the human behaviors which are complex and nonlinear systems. The purpose of this study is therefore to explore the relationship between SNS users’ switching intention and switching behavior based on structural equation modeling (SEM) and cusp catastrophe model (CCM). The key factors for the switching intentions and behaviors of SNS users were examined through empirical research, and a structural model was established. The model, which involved habits as a mediating factor, was used to conduct a qualitative and quantitative analysis on the switching behaviors of SNS users from a nonlinear perspective. This model will provide a new method for future researchers to analyze nonlinear behaviors as well as a dynamic decision support model for service providers to improve their business operation.     

Learning Virtual Community Loyalty Behavior From a Perspective of Social Cognitive Theory

Drawing upon social cognitive theory (SCT), this research postulates several personal and environmental factors as key drivers of virtual community loyalty behavior in online settings. An empirical testing of this model, by investigating undergraduate students' participation in communities of online games, reveals the applicability of SCT in virtual communities. The study's test results show that the influences of both affective commitment and social norms on community loyalty behavior are significant, whereas the influences of both exchange ideology and social support on community loyalty behavior are insignificant. This research contributes to the online community literature by assessing critical antecedent factors to the unexplored area of community loyalty behavior, by validating idiosyncratic drivers of community loyalty behavior and by performing an operationalization of affective commitment and social norms in a virtual world. Last, managerial implications and limitations of this research are provided.     

VCR: Virtual community recommender using the technology acceptance model and the user’s needs type

A recommender system is a kind of automated and sophisticated decision support system that is needed to provide a personalized solution in a brief form without going through a complicated search process. There have been a substantial number of studies to make recommender systems more accurate and efficient, however, most of them have a common critical limitation – these systems are used as virtual salespeople, rather than as marketing tools. A crucial reason for this phenomenon is that the models suggested by prior studies only focus on a user’s behavioral outcomes without consideration of the embedded procedure. In this study, we propose a novel recommender system based on user’s behavioral model. Our proposed system, labeled VCR—virtual community recommender, recommends optimal virtual communities for an active user by case-based reasoning (CBR) using behavioral factors suggested in the technology acceptance model (TAM) and its extended models. In addition, it refines its recommendation results by considering the user’s needs type at the point of usage. To test the usefulness of our recommendation model, we conducted two-step validation–empirical validation for the collected data set, and practical validation to investigate the actual satisfaction level of users. Experimental results showed that our model outperformed all comparative models from the perspective of user satisfaction.     

Towards an understanding of assimilation in virtual worlds: the 3C approach

Virtual worlds are increasing in importance as more multi-national firms are investing heavily in these emerging communities. Although much excitement has surrounded the idea of virtual worlds, a gap exists between those who register and those who engage in virtual worlds. Our analysis of the gap between those who merely register to join a virtual world and those who ultimately engage the community on a regular basis derives from a lack of assimilation. We present the 3C approach, a high-level theoretical framework delineating the relationship between three classes of factors (namely the technology class of factors; the community class of factors; and the user class of factors) that we posit explain virtual world assimilation and employ theories to represent these classes of factors and the interaction between them. After discussing and integrating these three classes of factors, we test our model through a study of 223 new users of Second Life. The results provide empirical support for the 3C framework; specifically, our analysis indicates that the technology and community classes of factors in exert a direct influence upon a user's attitude towards the virtual world, and this relationship is moderated by the user class of factors.     

User perceptions of e-quality of and affinity with virtual communities: The effect of individual differences

Following the information systems (IS) success model, this study explores the effect of individual differences on users’ perceptions of virtual communities in terms of e-quality (namely, information quality, system quality and service quality) of and affinity with virtual communities given individual differences are crucial in determining how individuals think and respond to the environment. This study examines the effect of individual differences on virtual community success dimensions from both physical and psychological perspectives, which we think presents a new view for virtual community research and practice alike. Data collected from users of virtual communities were used for data analysis. First, the cluster analysis was applied and five personality trait clusters were identified in terms of extraversion, agreeableness, openness to new experience, conscientiousness and neuroticism. Then, the independent sample t test and one-way analysis of variance (ANOVA) were employed. The effect of individual differences in terms of gender, age, position, experience with virtual communities as well as the five personality trait clusters on users’ perceptions of e-quality of and affinity with virtual communities was explored and discussed.     

Internet aggression in online communities: a contemporary deterrence perspective

Internet users' activities are critical to the development and success of Web 2.0 systems, such as online communities. Within the community's participation, knowledge sharing, and communications, users may conduct aggressive behaviors that would have a negative impact on that online community. This study investigates factors that affect Chinese users' aggression intention in online communities. Research findings show that online aggression can be inhibited by internal deterrents of face saving and moral beliefs, which may be enhanced through implementation of consequences from an effective community policy and peer pressure among community members. Differences in the effects of the deterrence measures exist between younger and older users. This paper contributes theoretically and empirically to Web 2.0 research and has practical implications for virtual community management.     

Knowledge Sharing in Virtual Communities: A Study of Citizenship Behavior and Its Social-Relational Antecedents

A virtual community is a type of online structure that enables Internet users to communicate and collaborate. Users' knowledge contributions are critical to the viability and sustainability of virtual communities. This article studies virtual community members' knowledge sharing from the perspective of citizenship behavior defined as members' spontaneous contribution to the community without expectation of return or reciprocation. The social-relational antecedents of citizenship behavior are explored through an examination of how members' general attitude and desire for relationship building and maintaining, including attachment motivation, social support orientation, and disposition to trust influence their trusting beliefs and citizenship knowledge-sharing behavior. Hypotheses are developed and tested with survey data from Chinese and American users of virtual communities. In general, the results of data analyses support our research model. This article contributes empirically to virtual community research and has practical implications for virtual community development.     

Admissible bilinear map-based key management protocol for HPCCS in heterogeneous network

The high-speed transfer rate and various services of the wired network have been combined with the convenience and mobility of wireless networks. This era of combined wire/wireless is being disseminated by new technology that creates new service applications and brings changes to both users and service providers. Network integration is a very important in this wire/wireless service, it is integrated by the convergence between heterogeneous networks and the integration of transmission technologies across networks. In this situation, existing security and communication technologies are difficult to apply due to the need to integrate with heterogeneous networks. Network security has many vulnerabilities. In existing homogeneous networks, user authentication and key management between heterogeneous networks are needed to be adapted to new technology. The establishment of security technologies to heterogeneous devices is also crucial between homogeneous networks. In this paper, we propose secure, efficient key management in a heterogeneous network environment. Therefore, it provides secure communication between heterogeneous network devices.     

Managing Sustainable Innovation with a User Community Toolkit: The Case of the Video Game Trackmania

Today, innovating with a user community seems an effective strategy for developing a firm's innovation capacity. However, short‐term benefits from this collaboration are no longer sufficient, and firms are now looking to develop a sustainable relationship with users, to maintain sustainable innovation. This study furthers our understanding of the way in which a user toolkit connected to a community serves to manage innovation of an existing product or service. The literature provides a limited understanding of the role of a user toolkit in the management of a sustainable innovation approach in firms. The research is based on a longitudinal case study of the video game Trackmania, which has an integrated toolkit connected to a large and active user community. Results confirm the crucial role of the toolkit in the construction, control and maintenance of a sustainable innovative approach with a user community. From the innovation perspective, the toolkit can be considered as a means of managing the boundary between the firm and the user community, because it enables the community to structure itself as a multi‐sided platform, where all categories of users participate in value creation. Finally, we identify four modalities for managing sustainable innovation with a user community toolkit.     

Embedding of virtual network requests over static wireless multihop networks

Network virtualization is a technology of running multiple heterogeneous network architecture on a shared substrate network. One of the crucial components in network virtualization is virtual network embedding, which provides a way to allocate physical network resources (e.g., CPU and link bandwidth) to virtual network requests. Despite significant research efforts on virtual network embedding in wired and cellular networks, little attention has been paid to that in wireless multi-hop networks, which is becoming more important due to its rapid growth and the need to share these networks among different business sectors and users. In this paper, we first study the root causes of new challenges of virtual network embedding in wireless multi-hop networks, and propose a new embedding algorithm that efficiently uses the resources of the physical substrate network. We examine our algorithm’s performance through extensive simulations under various scenarios. Due to lack of competitive algorithms, we compare the proposed algorithm to five other algorithms, mainly borrowed from wired embedding or made by us, partially with or without the key algorithmic ideas to assess their impacts.     

基于LDA的结构-内容联合社团发现模型

在社会网络中,根据已有的连接关系和文本信息发掘社会网络中的社团不但可以将相似的用户划分在一个社团,还可以用来预测网络中潜在的连接关系。为了提高社会网络中社团发现的性能,本文提出了一种基于LDA的结构-内容联合社团发现模型。首先,对社会网络的图论描述进行转化,使其适用于LDA模型。其次,对LDA模型描述进行扩充,使其包含了用户间交互的文本信息。最后,通过Gibbs采样方法对模型的参数进行估计。实验表明,本文提出的社团发现模型与其它相关方法相比较,社团发现得到的社团不仅用户间连接的紧密度和用户共享兴趣爱好的强度高,而且可以更好地用于社会网络中潜在连接的预测。     

An association model based reasoning method for individualized service recommender

Recommender systems have been widely accepted across a broad range of application areas. Their key task is to estimate the user's need as accurately as possible. To do so, conventional recommender systems have focused on how to more accurately determine similar users or similar products. However, individuals often have unique preferences, or they do not always prefer to use the same service. Typically, an individual's association from his own experience will be preferable, that is more accurate, compared with common interests he may have with other users. However, recommendation methods based on association, versus common interests, have been very few. Hence, the purpose of this paper is to propose an association model based reasoning methodology that estimates users’ associative strength from self‐experiences based on association theories. In particular, we adopt the Rescorla–Wagner model, the Galton free association test, and Russell's circumflex model for mood positivity to estimate associative strength. We perform an experimental study with actual experience data to verify the hypotheses, which validates the association model based algorithm in finding the best service with a good elapsed time.     

高校新生社团推荐系统的开发及设计

高校学生的综合素质是影响高校毕业生就业的一个关键因素,高校社团是素质教育的一个重要途径,可以提高高校学生职业规划意识和职业素养。如何让新入学的高校新生选择合适的社团,是本文需要研究解决的问题。从用户的角度出发,推荐系统可有效地帮助用户做出决策。本文把学生的相似度计算、K-中心点算法聚类分析以及招收指数结合在一起,最终得到社团的推荐排序值,并将其推荐给新生用户。本系统能够实现为新生推荐社团服务,具有一定的应用价值。     

基于信息扩散视角的虚拟社区用户影响力研究

节点排序研究领域中,少有研究考虑群聚效应下的群体规范对传播效率的影响,这可能导致用户影响力度量的准确性下降。针对这一问题,从信息扩散角度出发,借鉴创新扩散理论与Bass扩散模型,提出一种适用于虚拟社区网络的用户局部影响力度量模型CSA-LL（Cohesive Subgroup Analysis Based Local Leadership）：基于凝聚子群挖掘与分析,定义子群内部信息扩散效率,并结合用户全局影响力,计算模型输出值作为节点排序的依据。爬取近期的豆瓣社区数据进行网络构建,使用AISAS模型等方法验证了该模型输出的用户比PageRank算法和Hits算法结果具有更强的营销能力。使用LT模型进一步验证了模型的有效性和子群信息扩散效率对用户传播能力存在正向影响。再使用多个虚拟社区网络数据集和IC模型,分别验证了模型鲁棒性与结论稳健性。     

物联网环境下基于用户满意度的实时调度算法

随着3G网络和移动技术的发展,物联网已经深入到人们的工作和生活中,提供无所不在的服务。用户作为服务对象,以追求满意的高品质服务为目标,对服务具有选择权,对服务品质具有最直接、最重要的评判权。系统作为服务提供者,其服务品质取决于每个用户的满意度。因此,如何通过调度算法合理分配系统资源,让每个用户获得满意度更高的服务,成为了研究的重点。首先,构建个人满意度和系统满意度的评价标准;其次,依据用户期望的服务水平,为任务分配优先级;最后,通过反馈调节机制来调整任务优先级的分配,让更多用户对服务满意。实验表明,物联网环境下基于用户满意度的实时调度算法能够根据用户的需求,为用户提供满意的差别化服务,并提高系统满意度。