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对Web环境下联盟型图书馆的单点登录模型进行了研究。首先分析了两种主流的单点登录模型,然后对两者取长补短,提出一种新的Web环境下的联合单点登录模型,最后以用户登录、站点间跳转两种典型情况为例论证了该模型的认证过程,为联盟型图书馆知识共享系统的实现提供了有益的补充。 相似文献
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随着信息技术的广泛应用,用户在进行业务处理时可能需要同时访问多个业务系统。针对这种状况,有必要研究基于数字证书和SSL/TLS通道的单点登陆系统,实现＂一点登录、多点漫游＂。介绍了单点登录系统的设计和实现。 相似文献
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论述了LDAP协议的工作过程。将LDAP技术应用到数字化校园统一身份认证系统中,这一方法能够把各种应用系统的用户认证结合在一起,提高了用户管理和访问的安全性与可靠性,实现了用户单点登录的访问控制。 相似文献
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《中外科技政策与管理》2006,(10):32-42
在推进和发展电子政务建设的进程中，上海市徐汇区通过统一规划和设计，开发建设了一套统一授权管理，用户身份管理及单点认证整合平台。利用该整合平台可以实现用户一次登录，网内通用，避免多次登录到多个应用的情况。 相似文献
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为克服传统用户管理机制无法实现资源快速整合的缺陷,以单点登录机制为基础,结合数字签名、SAML等技术,文章通过在国内某大型信息门户中的应用实践,设计了一种适用于B／S结构的,高效且安全性适中的用户认证方案。 相似文献
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基于网格的Web Service S技术分析及单点登录问题探讨 总被引：3，自引：0，他引：3
本文针对基于网格的WebServiceS(GRWS)中存在的单点登录问题,分析了传统单点登录存在的单点失效的缺陷,综合使用信任度和P2P技术提出了一种新的单点登录模型。 相似文献
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《Information processing & management》2020,57(6):102307
While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects users’ social media discontinuance behaviors. To address this knowledge gap, this study employed the stressor–strain–outcome (SSO) framework to explain social media discontinuance behaviors from an overload perspective. It also conceptualized social media overload as a multidimensional construct consisting of system feature overload, information overload, and social overload. The proposed research model was empirically validated via 412 valid questionnaire responses collected from Facebook users. Our results indicated that the three types of overload are interconnected through system feature overload. System feature overload, information overload, and social overload engender user exhaustion, which in turn leads to users’ discontinued usage of social media. This study extends current technostress research by demonstrating the value of the SSO perspective in explaining users’ social media discontinuance. 相似文献
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通过对身份认证和访问控制等关键技术的研究,提出了一种与应用无关的SSO解决方案。方案将用户信息、应用系统的登录信息及用户角色相联系,生成基于WEB的用户资源访问列表,并使用户对于应用系统的登录认证均通过访问资源列表来完成。方案不需修改各应用系统原有的认证结构,方便了用户对各资源站点的访问,提高了管理者的工作效率。 相似文献
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通过介绍“IBM公司的DOMINO的LDAP（Eghtweight directory acces protocol，轻量级目录访问协议）服务”及其在湖南电力公司（HEPC）办公自动化系统中的应用，进而提出如何基于LDAP存储用户认证信息，从而实现其他应用系统的统一的用户认证管理的初步设想。 相似文献
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《Research Policy》2023,52(6):104761
Standard-setting organizations (SSOs) are collectively self-governed industry associations, formed by innovators and implementers. They are a key organizational form to agree on and manage technical standards, and form the foundation for many technological and economic sectors. We develop a model of endogeneous SSO participation that highlights different incentives for joining (namely licensing, learning, and implementation). We analyze equilibrium selection and conduct comparative statics for a policy parameter that is related to implementer-friendly Intellectual Property Rights policies, or alternatively, minimum viable implementation. The results can reconcile existing evidence, including that many SSO member firms are small. The extent of statutory participation of implementers in SSO control has an inverted U-shape effect on industry profits and welfare. 相似文献
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[目的/意义]学术用户画像是对用户访问使用学术资源行为的较全面的刻画。本文尝试构建图书馆学术用户画像的信息行为标签和研究兴趣标签,来准确定位学术用户的信息需求,以便推荐合适的学术资源。[方法/过程]具体方法是全面获取用户的访问日志并进行清洗处理,然后构建从学术用户信息行为出发的用户画像标签体系,进一步研究构建了基于研究兴趣关联的信息资源推荐服务。[结果/结论]本研究有助于提高用户信息获取效率,提高图书馆学术资源推荐服务的质量,并为结合其它资源全面构建图书馆学术用户画像提供一定的借鉴。 相似文献
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如何准确分析用户行为,向用户提供满意的网页信息,一直以来都是个性化信息推荐系统设计的目标。本文在分析现有个性化信息推荐模型的基础上,针对以往研究在推荐兴趣时仅根据语义相关度进行协助性信息推荐,而忽略用户行为规律所包含的潜在兴趣信息的不足,尝试提出一个结合Web语义挖掘和FP-tree规则发现技术的个性化信息推荐模型。该模型利用本体对语义的明确化描述,在挖掘用户行为信息时获取用户兴趣偏好的语义信息,并利用FP-tree技术根据以获取的语义信息推理出用户兴趣行为模式,从而在信息推荐时不仅能准确理解用户兴趣偏好,也能根据用户潜在兴趣规律,推荐给用户更全面的网页信息。 相似文献
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As access to information becomes more intensive in society, a great deal of that information is becoming available through diverse channels. Accordingly, users require effective methods for accessing this information. Conversational agents can act as effective and familiar user interfaces. Although conversational agents can analyze the queries of users based on a static process, they cannot manage expressions that are more complex. In this paper, we propose a system that uses semantic Bayesian networks to infer the intentions of the user based on Bayesian networks and their semantic information. Since conversation often contains ambiguous expressions, the managing of context and uncertainty is necessary to support flexible conversational agents. The proposed method uses mixed-initiative interaction (MII) to obtain missing information and clarify spurious concepts in order to understand the intention of users correctly. We applied this to an information retrieval service for websites to verify the usefulness of the proposed method. 相似文献
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《Information processing & management》2022,59(1):102737
Substantial real cases can be formed in current online medical platforms, constituting potentially rich commercial medical value. In order to obtain the value, it is necessary to mine the preference for user perceived cancer risk in online medical platforms. However, user preference in the platforms varies with medical inquiry text environments, and a user's disease-specific online medical inquiry text environment would also affect his/her behavioral decisions in real time. In this sense, considering the inner relations between different contexts and user preferences under different diseases-specific inquiry text environments and integrating early cancer texts will facilitate the exploration on the law of preference for user perceived cancer risk. Therefore, in this paper, the matrix decomposition and Labeled-LDA models are expanded to propose a context-based method to access the preference for user perceived cancer risk. Firstly, modeling on the relationship between user preferences and information in multi-dimensional context is carried out, and the universal method of integrating multi-dimensional contextual information with user preferences is analyzed. Moreover, more accurate user references were obtained under the multi-dimensional text space and multi-dimensional disease space. Secondly, the similarity relationships between all disease-specific online medical inquiries and early cancer texts are used to obtain user perceived cancer risk, thus knowing the online medical inquiry texts of user cognized diseases and perceiving the cancer risk. Lastly, by accessing the user preferences under different disease topics and user perceived cancer risk in multi-dimensional contexts, the preference for user perceived cancer risk is obtained in a more accurate way. Based on the large-volume real-world dataset, the relationship between each context and user preferences is assessed, and it is concluded that the method proposed in this paper is superior to MF-LDA method in obtaining the preference for user perceived cancer risk. This indicates that the proposed method not only expresses user perceived risk, but also clearly expresses the characteristics of user's preference. Furthermore, it is verified that the integration of context with early cancer text and the establishment of user preference model are feasible and effective. 相似文献