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。

公开(公告)号：US09183293B2

公开(公告)日：2015-11-10

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 ,  G06Q30/02 ,  G06Q50/00

CPC分类号： G06F17/30734 ,  G06F17/3071 ,  G06Q30/02 ,  G06Q50/01

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。

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

CPC分类号： G06F17/30734 ,  G06F17/3071 ,  G06Q30/02 ,  G06Q50/01

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。

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。

公开(公告)号：US08909567B2

公开(公告)日：2014-12-09

申请号：US13400323

申请日：2012-02-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06N5/00 ,  G06F1/00

CPC分类号： G06Q10/00 ,  G06N99/005 ,  G06Q50/00

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 represent the significance of fairness and throughput can be computed utilizing a reinforcement learning algorithm. 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的索引值来进行资源分配决定。 可以使用强化学习算法来计算公平系数和吞吐量系数，它们表示公平性和吞吐量的重要性。 在分配资源的同时，可以改变公平性和吞吐量系数。 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。

公开(公告)号：US08654386B2

公开(公告)日：2014-02-18

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： G06F3/12 ,  G06K15/00

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。

公开(公告)号：US20130160018A1

公开(公告)日：2013-06-20

申请号：US13331246

申请日：2011-12-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06F9/46

CPC分类号： G06F9/50 ,  G06Q10/00 ,  G06Q10/10

摘要： A system and method for the dynamic allocation of resources based on multi-phase negotiation mechanism. A resource allocation decision can be made based on an index value computed by a selection index function. A negotiation process can be performed based on a schedule, a number of resources, and a price of resources. A user requesting a resource for a low priority task can negotiate based on the schedule, the user demanding the resource for a medium priority task can negotiate based on the schedule and/or the number of resources, and filially the user requesting the resource for a high priority job can successfully negotiate based on per unit resource price. The multi-phase negotiation mechanism motivates the users to be cooperative among them and improves a cooperative behavior coefficient and an overall user satisfaction rate.

摘要翻译： 一种基于多阶段协商机制动态资源分配的系统与方法。 可以基于由选择索引函数计算的索引值来进行资源分配决定。 可以基于日程表，资源数量和资源价格进行协商过程。 请求用于低优先级任务的资源的用户可以基于调度进行协商，要求中等优先级任务的资源的用户可以基于调度和/或资源数量协商，并且恳求用户请求资源用于 高优先级工作可以根据单位资源价格成功协商。 多阶段协商机制激励用户之间合作，提高合作行为系数和整体用户满意度。

公开(公告)号：US08832694B2

公开(公告)日：2014-09-09

申请号：US13331246

申请日：2011-12-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06F9/46 ,  G06F9/455

CPC分类号： G06F9/50 ,  G06Q10/00 ,  G06Q10/10

摘要： A system and method for the dynamic allocation of resources based on multi-phase negotiation mechanism. A resource allocation decision can be made based on an index value computed by a selection index function. A negotiation process can be performed based on a schedule, a number of resources, and a price of resources. A user requesting a resource for a low priority task can negotiate based on the schedule, the user demanding the resource for a medium priority task can negotiate based on the schedule and/or the number of resources, and filially the user requesting the resource for a high priority job can successfully negotiate based on per unit resource price. The multi-phase negotiation mechanism motivates the users to be cooperative among them and improves a cooperative behavior coefficient and an overall user satisfaction rate.

摘要翻译： 一种基于多阶段协商机制动态资源分配的系统与方法。 可以基于由选择索引函数计算的索引值来进行资源分配决定。 可以基于日程表，资源数量和资源价格进行协商过程。 请求用于低优先级任务的资源的用户可以基于调度进行协商，要求中等优先级任务的资源的用户可以基于调度和/或资源数量协商，并且恳求用户请求资源用于 高优先级工作可以根据单位资源价格成功协商。 多阶段协商机制激励用户之间合作，提高合作行为系数和整体用户满意度。

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。

公开(公告)号：US20130218814A1

公开(公告)日：2013-08-22

申请号：US13400323

申请日：2012-02-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06F15/18

CPC分类号： G06Q10/00 ,  G06N99/005 ,  G06Q50/00

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。