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公开(公告)号：US09741259B2
公开(公告)日：2017-08-22
申请号：US13664582
申请日：2012-10-31
IPC分类号： G09B7/00
CPC分类号： G09B7/00
摘要： Embodiments of the invention relate to user identification in social media for task performance based on past usage and traits. One embodiment includes identifying users of a social media platform for ability of performing a task. Readiness scores are predicted based on past usage of the social media platform. A predicted readiness score includes a value corresponding to whether a user is predicted to be ready for performing the task. Users that are ready to perform the task are determined based on comparing the readiness scores with a threshold. Willingness scores for performing the task by the users determined to be able and ready to perform the task are determined. A willingness score includes a value corresponding to whether a user is estimated to be willing for performing the task. Users that are willing to perform the task are determined based on comparing the willingness scores with a threshold.
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公开(公告)号：US20140258188A1
公开(公告)日：2014-09-11
申请号：US13792474
申请日：2013-03-11
发明人： Jilin Chen , Jalal U. Mahmud , Jeffrey W. Nichols
CPC分类号： G06N99/005 , G06N5/04 , G06Q10/00 , G06Q50/01
摘要： Embodiments of the invention relate to predicting user activity in a social media application. In one embodiment, user activity information is collected for a user from a social media application and activity features of the user are determined, based on the collected activity information for the user. Then a model is created to predict a future activity of the user in the social media application. The model uses the determined activity features of the user and results obtained from running the created model, to determine future activity of the user in the social media application.
摘要翻译： 本发明的实施例涉及在社交媒体应用中预测用户活动。 在一个实施例中，基于所收集的用户活动信息，从社交媒体应用程序为用户收集用户活动信息，并确定用户的活动特征。 然后创建一个模型来预测用户在社交媒体应用中的未来活动。 该模型使用用户的确定的活动特征和运行创建的模型获得的结果，以确定用户在社交媒体应用程序中的未来活动。
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公开(公告)号：US09299115B2
公开(公告)日：2016-03-29
申请号：US14638752
申请日：2015-03-04
CPC分类号： G06Q50/01 , G06F17/30283 , G06F17/3053 , G06F17/30604 , G06F17/30867 , G06F17/30876 , G06F17/30994
摘要： Embodiments relate to optimizing user response rate in social media. One embodiment includes generating a model for modeling a likelihood of social media user response from data collected from social media based on social media user filtering criteria and historical information. Modeling the likelihood includes estimating ability of social media users to perform a particular task based on social media user information including tracking of the social media users, evaluating previous task responses and personality features. Social media users are selected based on estimated ability to perform the particular task for maximizing a response rate.
摘要翻译： 实施例涉及在社交媒体中优化用户响应率。 一个实施例包括基于社交媒体用户过滤标准和历史信息来生成用于从社交媒体收集的数据建模社交媒体用户响应的可能性的模型。 建模可能性包括估计社交媒体用户基于社交媒体用户信息执行特定任务的能力，包括社交媒体用户的跟踪，评估先前的任务响应和个性特征。 社交媒体用户根据估计的执行特定任务的能力进行选择，以最大化响应率。
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公开(公告)号：US20160012552A1
公开(公告)日：2016-01-14
申请号：US14638752
申请日：2015-03-04
CPC分类号： G06Q50/01 , G06F17/30283 , G06F17/3053 , G06F17/30604 , G06F17/30867 , G06F17/30876 , G06F17/30994
摘要： Embodiments relate to optimizing user response rate in social media. One embodiment includes generating a model for modeling a likelihood of social media user response from data collected from social media based on social media user filtering criteria and historical information. Modeling the likelihood includes estimating ability of social media users to perform a particular task based on social media user information including tracking of the social media users, evaluating previous task responses and personality features. Social media users are selected based on estimated ability to perform the particular task for maximizing a response rate.
摘要翻译： 实施例涉及在社交媒体中优化用户响应率。 一个实施例包括基于社交媒体用户过滤标准和历史信息来生成用于从社交媒体收集的数据建模社交媒体用户响应的可能性的模型。 建模可能性包括估计社交媒体用户基于社交媒体用户信息执行特定任务的能力，包括社交媒体用户的跟踪，评估先前的任务响应和个性特征。 社交媒体用户根据估计的执行特定任务的能力进行选择，以最大化响应率。
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公开(公告)号：US09117179B2
公开(公告)日：2015-08-25
申请号：US13792474
申请日：2013-03-11
发明人： Jilin Chen , Jalal U. Mahmud , Jeffrey W. Nichols
CPC分类号： G06N99/005 , G06N5/04 , G06Q10/00 , G06Q50/01
摘要： Embodiments of the invention relate to predicting user activity in a social media application. In one embodiment, user activity information is collected for a user from a social media application and activity features of the user are determined, based on the collected activity information for the user. Then a model is created to predict a future activity of the user in the social media application. The model uses the determined activity features of the user and results obtained from running the created model, to determine future activity of the user in the social media application.
摘要翻译： 本发明的实施例涉及在社交媒体应用中预测用户活动。 在一个实施例中，基于所收集的用户活动信息，从社交媒体应用程序为用户收集用户活动信息，并确定用户的活动特征。 然后创建一个模型来预测用户在社交媒体应用中的未来活动。 该模型使用用户的确定的活动特征和运行创建的模型获得的结果，以确定用户在社交媒体应用程序中的未来活动。
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公开(公告)号：US09026541B2
公开(公告)日：2015-05-05
申请号：US13774273
申请日：2013-02-22
IPC分类号： G06F17/30
CPC分类号： G06Q50/01 , G06F17/30283 , G06F17/3053 , G06F17/30604 , G06F17/30867 , G06F17/30876 , G06F17/30994
摘要： Embodiments of the invention relate to optimizing user response rate in social media. One embodiment includes generating a statistical model for modeling a likelihood of social media user response from data collected from social media using a set of available features. The social media users are ranked in an estimation set based on the statistical model. The ranked social media users are placed in a rank ordered list. A sub-interval on the rank ordered list is selected for maximizing the response rate.
摘要翻译： 本发明的实施例涉及在社交媒体中优化用户响应率。 一个实施例包括生成用于使用一组可用特征从社交媒体收集的数据建模社交媒体用户响应的可能性的统计模型。 基于统计模型，社交媒体用户排在一个估计集中。 排名的社交媒体用户被列入排序列表。 选择排序顺序列表上的子间隔以使响应率最大化。
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7.发明申请INTEGRATING SMART SOCIAL QUESTION AND ANSWERS ENABLED FOR USE WITH SOCIAL NETWORKING TOOLS 有权整合智能社会问题和答复使用社交网络工具公开(公告)号：US20140214831A1
公开(公告)日：2014-07-31
申请号：US13750301
申请日：2013-01-25
发明人： Chang Y. Chi , Qinying Liao , Lin Luo , Jeffrey W. Nichols , Ying-xin Pan , Thomas Schaeck , Michelle X. Zhou
IPC分类号： G06F17/30
CPC分类号： G06Q50/01 , G06F17/30654 , G06Q10/10
摘要： Embodiments include a program product and a method for providing responses to questions provided on a social media site. The method includes receiving, via a processor, a user question from a social networking site and decomposing and filtering the user question so that it can be further analyzed. The method also includes generating a list of most closely matched potential responders based on analysis of the user question and sending the most closely matched potential responders the user question. Upon receiving responses back from the most closest matched potential responders, these responses are aggregated by the processor in a final response format.
摘要翻译： 实施例包括用于对在社交媒体站点上提供的问题提供响应的程序产品和方法。 该方法包括经由处理器从社交网站接收用户问题，并分解和过滤用户问题，以便进一步分析用户问题。 该方法还包括基于对用户问题的分析和发送最接近匹配的潜在响应者的用户问题来生成最接近匹配的潜在响应者的列表。 在从最匹配的潜在响应者收到响应后，这些响应由处理器以最终响应格式聚合。
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8.发明申请IDENTIFICATION OF USERS FOR INITIATING INFORMATION SPREADING IN A SOCIAL NETWORK 审中-公开用于在社会网络中启动信息的用户的标识公开(公告)号：US20140280610A1
公开(公告)日：2014-09-18
申请号：US13799156
申请日：2013-03-13
IPC分类号： H04L12/58
摘要： Embodiments of the invention relate to identifying users for initiating information spreading in social network. In one embodiment, information for one or more users of a social network is collected and one or more features for each of the one or more users based on the collected information is computed. The one or more features are compared with a statistical model and calculating a probability that each of the one or more users will spread a message received from outside their social network based on the comparison.
摘要翻译： 本发明的实施例涉及识别用于在社交网络中发起信息的用户。 在一个实施例中，收集关于社交网络的一个或多个用户的信息，并且基于所收集的信息计算一个或多个用户中的每一个的一个或多个特征。 将一个或多个特征与统计模型进行比较，并计算一个或多个用户中的每一个将基于该比较来扩展从其社交网络外部接收到的消息的概率。
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公开(公告)号：US20140244658A1
公开(公告)日：2014-08-28
申请号：US13774273
申请日：2013-02-22
IPC分类号： G06F17/30
CPC分类号： G06Q50/01 , G06F17/30283 , G06F17/3053 , G06F17/30604 , G06F17/30867 , G06F17/30876 , G06F17/30994
摘要： Embodiments of the invention relate to optimizing user response rate in social media. One embodiment includes generating a statistical model for modeling a likelihood of social media user response from data collected from social media using a set of available features. The social media users are ranked in an estimation set based on the statistical model. The ranked social media users are placed in a rank ordered list. A sub-interval on the rank ordered list is selected for maximizing the response rate.
摘要翻译： 本发明的实施例涉及在社交媒体中优化用户响应率。 一个实施例包括生成用于使用一组可用特征从社交媒体收集的数据建模社交媒体用户响应的可能性的统计模型。 基于统计模型，社交媒体用户排在一个估计集中。 排名的社交媒体用户被列入排序列表。 选择排序顺序列表上的子间隔以使响应率最大化。
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公开(公告)号：US20140120515A1
公开(公告)日：2014-05-01
申请号：US13664582
申请日：2012-10-31
IPC分类号： G09B7/00
CPC分类号： G09B7/00
摘要： Embodiments of the invention relate to user identification in social media for task performance based on past usage and traits. One embodiment includes identifying users of a social media platform for ability of performing a task. Readiness scores are predicted based on past usage of the social media platform. A predicted readiness score includes a value corresponding to whether a user is predicted to be ready for performing the task. Users that are ready to perform the task are determined based on comparing the readiness scores with a threshold. Willingness scores for performing the task by the users determined to be able and ready to perform the task are determined. A willingness score includes a value corresponding to whether a user is estimated to be willing for performing the task. Users that are willing to perform the task are determined based on comparing the willingness scores with a threshold.
摘要翻译： 本发明的实施例涉及基于过去的使用和特征的用于社交媒体中用于任务执行的用户识别。 一个实施例包括识别用于执行任务的能力的社交媒体平台的用户。 根据社交媒体平台的过去使用情况预测就绪成绩。 预测准备度分数包括与预测用户是否准备好执行任务相对应的值。 准备执行任务的用户是通过将准备评分与阈值进行比较来确定的。 确定由确定能够并准备执行任务的用户执行任务的意愿得分。 意愿分数包括对应于用户是否愿意执行任务的值。 基于将意愿得分与阈值进行比较来确定愿意执行任务的用户。
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