METHOD AND SYSTEM FOR ENABLING DECENTRALIZED, TRUSTWORTHY AND COLLABORATIVE SHARING OF SERVICES
    91.
    发明申请
    METHOD AND SYSTEM FOR ENABLING DECENTRALIZED, TRUSTWORTHY AND COLLABORATIVE SHARING OF SERVICES 失效
    实现分散化,信任和协同共享服务的方法和系统

    公开(公告)号:US20130242340A1

    公开(公告)日:2013-09-19

    申请号:US13421405

    申请日:2012-03-15

    申请人: Hua Liu Tong Sun

    发明人: Hua Liu Tong Sun

    IPC分类号: G06K15/02

    CPC分类号: G06Q30/02

    摘要: Methods and systems for selecting a service provider are disclosed. Information pertaining to print service providers, including associated user and general reputation scores, are received. Each user reputation score identifies a user's perception of a print service provider's reputation. Each general reputation score identifies a general strength of the print service provider's reputation. A first set of providers is selected based on a threshold user reputation score. A second set of providers is selected (pseudo-)randomly. A trust score is determined for each provider in the first and second sets based on the associated user and general reputation scores. One or more negotiation providers are selected from the first and second sets based on the associated trust scores. One or more of the user and general reputation scores are updated for negotiation providers based on a quality of service provided or an offer provided to or by the negotiation provider.

    摘要翻译: 公开了用于选择服务提供商的方法和系统。 收到与打印服务提供商有关的信息,包括相关用户和一般信誉评分。 每个用户信誉评分识别用户对打印服务提供商的声誉的看法。 每个通用信誉评分都标识了打印服务提供商声誉的一般优势。 基于阈值用户信誉评分来选择第一组提供者。 随机选择(伪)第二组提供者。 基于相关联的用户和一般信誉评分,确定第一和第二组中的每个提供者的信任分数。 基于相关联的信任分数,从第一和第二集合中选择一个或多个协商提供者。 基于提供的服务质量或向协商提供商提供的报价,为协商提供者更新一个或多个用户和一般信誉分数。

    METHOD AND SYSTEM FOR THE DYNAMIC ALLOCATION OF RESOURCES BASED ON FAIRNESS, THROUGHPUT, AND USER BEHAVIOR MEASUREMENT
    93.
    发明申请
    METHOD AND SYSTEM FOR THE DYNAMIC ALLOCATION OF RESOURCES BASED ON FAIRNESS, THROUGHPUT, AND USER BEHAVIOR MEASUREMENT 有权
    基于公平,通过和用户行为测量的资源动态分配的方法和系统

    公开(公告)号:US20130218814A1

    公开(公告)日:2013-08-22

    申请号:US13400323

    申请日:2012-02-20

    IPC分类号: G06F15/18

    摘要: A system and method for the dynamic allocation of resources based on fairness, throughput, and user behavior measurement. A resource allocation decision can be made based on an index value computed by a selection index function, A fairness coefficient and a throughput coefficient, which represents the significance of fairness and throughput can be computed utilizing a reinforcement learning algorithm and the degree of fairness and throughput coefficient can be varied while allocating resources. A user behavior coefficient with respect to a user can be computed to determine the degree of cooperativeness of the user with other users and the value of user behavior coefficient can be updated each time it interacts with the system.

    摘要翻译: 基于公平性,吞吐量和用户行为测量动态分配资源的系统和方法。 可以基于由选择索引函数计算出的指标值进行资源分配决定,公平性和吞吐量系数表示公平性和吞吐量的重要性,可以使用强化学习算法和公平性和吞吐量 系数可以在分配资源时变化。 可以计算相对于用户的用户行为系数,以确定用户与其他用户的协作程度,并且每当与系统交互时,可以更新用户行为系数的值。

    SYSTEMS AND METHODS FOR SCALABLE TOPIC DETECTION IN SOCIAL MEDIA
    94.
    发明申请
    SYSTEMS AND METHODS FOR SCALABLE TOPIC DETECTION IN SOCIAL MEDIA 有权
    社会媒体可衡量主题检测的系统与方法

    公开(公告)号:US20130151531A1

    公开(公告)日:2013-06-13

    申请号:US13324391

    申请日:2011-12-13

    申请人: Lei Li Wei Peng Tong Sun

    发明人: Lei Li Wei Peng Tong Sun

    IPC分类号: G06F17/30

    摘要: Embodiments generally relate to systems and methods for detecting topics in social media data. More particularly, the systems and methods can extract a concept hierarchy from a set of data, wherein the concept hierarchy comprises a plurality of layers. Further, the systems and methods can train topic models based on the content in each of the layers. Still further, the systems and methods can select the most appropriate topic model for social media data by balancing the complexity of the model and the accuracy of the topic detection result. Moreover, the systems and methods can use the most appropriate topic model to detect topics in social media data.

    摘要翻译: 实施例通常涉及用于检测社交媒体数据中的主题的系统和方法。 更具体地,系统和方法可以从一组数据中提取概念层次,其中概念层级包括多个层。 此外,系统和方法可以基于每个层中的内容来训练主题模型。 此外,系统和方法可以通过平衡模型的复杂性和主题检测结果的准确性来为社交媒体数据选择最合适的主题模型。 此外,系统和方法可以使用最合适的主题模型来检测社交媒体数据中的主题。

    METHODS AND SYSTEMS FOR RECOMMENDING SERVICES BASED ON AN ELECTRONIC SOCIAL MEDIA TRUST MODEL
    95.
    发明申请
    METHODS AND SYSTEMS FOR RECOMMENDING SERVICES BASED ON AN ELECTRONIC SOCIAL MEDIA TRUST MODEL 审中-公开
    基于电子社会媒体信任模型推荐服务的方法与系统

    公开(公告)号:US20130097056A1

    公开(公告)日:2013-04-18

    申请号:US13272811

    申请日:2011-10-13

    申请人: Tong Sun Lei Li Hua Liu

    发明人: Tong Sun Lei Li Hua Liu

    IPC分类号: G06F15/16 G06Q30/06

    CPC分类号: G06Q10/00 G06Q30/02

    摘要: Methods and systems for recommending a service based on an electronic social media trust model. A user trust network and a service trust network can be constructed and the two separate trust networks can be combined to form a combined trust network. The combined trust network includes an explicit trust and an implicit trust in order to improve the recommendation coverage and consider a latent service rating without suffering noisy data. A trust-oriented random walk model can be conducted on a user node with respect to the combined trust network based on a user search intent and navigation behavior in order to select and recommend a service candidate. A service rating can then be predicted by considering the user ratings with respect to a target service, a propagated trust and an inferred service rating.

    摘要翻译: 基于电子社交媒体信托模型推荐服务的方法和系统。 可以构建用户信任网络和服务信任网络,并且可以组合两个单独的信任网络以形成组合的信任网络。 组合的信任网络包括明确的信任和隐性信任,以便改善推荐覆盖率并考虑潜在服务评级,而不会有嘈杂的数据。 可以基于用户搜索意图和导航行为相对于组合的信任网络在用户节点上进行信任导向的随机游走模型,以便选择和推荐服务候选者。 然后可以通过考虑用户对目标服务的评级,传播的信任和推断的服务评级来预测服务评级。

    METHODS AND SYSTEMS FOR MEASURING ENGAGEMENT EFFECTIVENESS IN ELECTRONIC SOCIAL MEDIA
    96.
    发明申请
    METHODS AND SYSTEMS FOR MEASURING ENGAGEMENT EFFECTIVENESS IN ELECTRONIC SOCIAL MEDIA 审中-公开
    电子社会媒体测量有效性的方法与系统

    公开(公告)号:US20130080212A1

    公开(公告)日:2013-03-28

    申请号:US13245039

    申请日:2011-09-26

    申请人: Lei Li Tong Sun Wei Peng

    发明人: Lei Li Tong Sun Wei Peng

    IPC分类号: G06Q10/00

    CPC分类号: G06Q10/10 G06Q50/01

    摘要: A system and method for measuring engagement effectiveness with respect to a service agent by analyzing a conversation between the agent and a customer in a social media environment. A conversation history between the agent and the customer can be mapped into a multi-resolution space based on different time frames via a mapping module. A polarized topical and sentimental distance between the continuous conversations can be calculated by applying a topic-sentiment mixture model and a divergence theorem onto the conversation history with respect to the time frame. Finally, the polarized topical distances can be aggregated in a time-sensitive way based on a time function and an effectiveness score can be calculated and represented as a weighted pyramid kernel of multiple levels. Such a time-sensitive pyramid kernel function based on the implicit topical and sentimental correspondences between daily conversations enables discriminative evaluation for the agent engagement in a customer care.

    摘要翻译: 一种用于通过分析代理和社交媒体环境中的客户之间的对话来测量关于服务代理的参与有效性的系统和方法。 代理和客户之间的会话历史可以通过映射模块基于不同的时间帧映射到多分辨率空间。 可以通过将关于时间框架的话题情感混合模型和发散定理应用于会话历史来计算连续对话之间的极化局部和感性的距离。 最后,可以基于时间函数以时间敏感的方式聚合极化的局部距离,并且可以计算有效性得分并将其表示为多个级别的加权金字塔核。 这种基于日常对话之间隐含的主题和感性对应的时间敏感的金字塔核心功能使得代理人参与客户关怀的歧视性评估成为可能。

    Solution recommendation based on incomplete data sets
    97.
    发明授权
    Solution recommendation based on incomplete data sets 有权
    基于不完整数据集的解决方案推荐

    公开(公告)号:US08332343B2

    公开(公告)日:2012-12-11

    申请号:US13269142

    申请日:2011-10-07

    IPC分类号: G06F17/00 G06N5/02

    CPC分类号: G06F17/30707 G06F17/30684

    摘要: In accordance with one aspect of the present exemplary embodiment, a system determines a solution based on received data. An intake component receives an incomplete data set from one or more sources. A recommendation system transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into an existing cluster and provides one or more solutions of the existing cluster as one or more recommendations.

    摘要翻译: 根据本示例性实施例的一个方面,系统基于接收的数据确定解决方案。 摄入元件从一个或多个源接收不完整的数据集。 推荐系统通过潜在语义索引将不完整数据集转换为语义数据集,将语义数据集分类为现有集群,并将现有集群的一个或多个解决方案提供为一个或多个建议。

    Method and system for identifying a key influencer in social media utilizing topic modeling and social diffusion analysis
    98.
    发明授权
    Method and system for identifying a key influencer in social media utilizing topic modeling and social diffusion analysis 有权
    使用主题建模和社会扩散分析来识别社交媒体中的关键影响者的方法和系统

    公开(公告)号:US08312056B1

    公开(公告)日:2012-11-13

    申请号:US13231321

    申请日:2011-09-13

    申请人: Wei Peng Tong Sun

    发明人: Wei Peng Tong Sun

    IPC分类号: G06F17/30

    CPC分类号: G06Q50/01

    摘要: A system and method for identifying a key influencer in a social media environment for enterprise marketing utilizing topic modeling and social diffusion analysis. A user interest profile can be generated by analyzing historical data stored in a database utilizing. A social graph can be generated and an influence measuring process based on the social graph data can be performed utilizing a static diffusion model and a dynamic diffusion model to calculate a set of key influencers. The dynamic diffusion model considers time stamp information to assess an impact of each user communication on the growth of a conversation within a time period. The key influencer can be identified in a specific topic area and a number of total users that can be reached via the influencer within a specific time window can be predicted.

    摘要翻译: 一种利用主题建模和社会扩散分析,在企业营销社会媒体环境中识别关键影响因素的系统和方法。 可以通过分析存储在数据库中的历史数据来生成用户兴趣简档。 可以生成社交图,并且可以使用静态扩散模型和动态扩散模型来执行基于社交图数据的影响测量过程来计算一组关键影响因素。 动态扩散模型考虑时间戳信息,以评估每个用户通信对一段时间内对话增长的影响。 可以在特定主题区域中识别关键影响者,并且可以预测在特定时间窗口内可以通过影响者到达的总用户的数量。

    Semi-automatic system with an iterative learning method for uncovering the leading indicators in business processes
    100.
    发明授权
    Semi-automatic system with an iterative learning method for uncovering the leading indicators in business processes 有权
    半自动系统采用迭代学习方法,揭示业务流程中的领先指标

    公开(公告)号:US08010589B2

    公开(公告)日:2011-08-30

    申请号:US11676816

    申请日:2007-02-20

    摘要: Embodiments herein select performance indicators from raw data and measure the indicators over at least one time period to extract a time series of data for each of the indicators. The method determines a time order among the correlated indicators and determines a causal direction among the correlated indicators based on which of the correlated indicators occurs first in time so as to identify relative leading indicators among the correlated indicators. The processes of determining the time order and determining the causal direction can comprise applying Dynamic Time Warping and/or Granger Causality techniques to the time series of data.

    摘要翻译: 本文中的实施例从原始数据中选择性能指标并且在至少一个时间段内测量指标以提取每个指示符的时间序列数据。 该方法确定相关指标之间的时间顺序,并根据哪些相关指标及时发生相关指标,确定相关指标之间的因果关系方向,以确定相关指标之间的相对领先指标。 确定时间顺序和确定因果方向的过程可以包括将动态时间扭曲和/或格兰杰因果关系技术应用于数据的时间序列。