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公开(公告)号：US11315149B2
公开(公告)日：2022-04-26
申请号：US14839082
申请日：2015-08-28
发明人： Rama Kalyani T. Akkiraju , Liang Gou , Haibin Liu , Jalal U. Mahmud , Vibha S. Sinha , Anbang Xu
摘要： Mechanisms are provided to implement a brand personality inference engine. The mechanisms receive crowdsource information and extract features associated with a brand from the crowdsource information. The crowdsource information comprises natural language content submitted by a plurality of providers to a crowdsource information source. The mechanisms analyze features associated with the brand in accordance with a brand personality model configured to predict a brand personality for the brand based on the features associated with the brand. The mechanisms generate an inferred brand personality data structure, representing a perceived brand personality of providers providing the crowdsource information, and output an output indicating aspects of the perceived brand personality based on the inferred brand personality data structure.
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公开(公告)号：US10832588B2
公开(公告)日：2020-11-10
申请号：US15810893
申请日：2017-11-13
摘要： An approach is provided that may obtain communication information regarding a communication between a first entity and a second entity while the communication may be ongoing. The communication may include an utterance. A tone associated with the utterance may be identified and may result in an identified tone. An outcome of the communication may be predicted using a machine learning based prediction module and the identified tone.
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公开(公告)号：US10726466B2
公开(公告)日：2020-07-28
申请号：US15342803
申请日：2016-11-03
发明人： Rama K. Akkiraju , Haibin Liu , Jalal U. Mahmud , Vibha S. Sinha , Anbang Xu
IPC分类号： G06Q30/00 , G06Q30/06 , G06F16/9535 , G06Q50/00
摘要： A method, system and a computer program product are provided for making product recommendations to improve a user's personal brand by using the symbolic meanings and utilities of products and a user's brand perceptions along with users input of a desired personal brand imagery to output a set of products that are optimized to help users bridge the gaps between their desired and actual self-brand, thereby enabling a user to navigate products that shape their personal imagery.
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公开(公告)号：US10346772B2
公开(公告)日：2019-07-09
申请号：US14300342
申请日：2014-06-10
发明人： Jalal U. Mahmud , Aditya Pal , Fei Wang
摘要： In a method for determining group attributes and matching tasks to a group, a plurality of individual attributes for members of a first group of a plurality of groups are determined, wherein each individual attribute has a type. Parameters of a first distribution of at least one type of individual attribute across members of the first group are estimated. Group attributes of the first group are determined based, at least in part, on the estimated parameters of the first distribution of at least one type of individual attribute. The determined group attributes of the first group are stored in a repository, wherein the repository includes group attributes associated with each group of the plurality of groups. A task is received, wherein the task is associated with a specific group attribute and the task is matched to one group of the plurality of groups based on the specific group attribute.
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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：US20160086100A1
公开(公告)日：2016-03-24
申请号：US14957841
申请日：2015-12-03
发明人： Jilin Chen , Kyumin Lee , Jalal U. Mahmud
摘要： A computer-implemented method, computer program product, and computer system for selecting strangers for information spreading on a social network. For the strangers who are users of the social network and not related to each other, information spreading probabilities based on features, information reach, and information spreading probabilities based on a wait time are computed. Fitness scores of the strangers are computed; the fitness scores are a function of the information spreading probabilities, the information reach, and the information spreading probabilities. The strangers are ranked, based on the fitness scores, in a sorted set. One or more of the strangers for the information spreading are selected from the sorted set. The one or more of the strangers for the information spreading are selected by determining an interval in the sorted set, and the interval satisfies an optimization objective of maximizing unit information reach per stranger.
摘要翻译： 计算机实现的方法，计算机程序产品和用于在社交网络上传播信息的陌生人的计算机系统。 对于作为社交网络的用户并且不相关的陌生人，计算基于特征，信息到达和基于等待时间的信息传播概率的信息传播概率。 计算陌生人的健身得分; 适应度分数是信息传播概率，信息到达和信息传播概率的函数。 陌生人根据健身得分在排序集中排名。 从排序集中选择一个或多个用于信息传播的陌生人。 通过确定分类集合中的间隔来选择用于信息扩展的一个或多个陌生人，并且该间隔满足使每个陌生人达到的单位信息达到最大化的优化目标。
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公开(公告)号：US20160086099A1
公开(公告)日：2016-03-24
申请号：US14957814
申请日：2015-12-03
发明人： Jilin Chen , Kyumin Lee , Jalal U. Mahmud
摘要： A computer-implemented method, computer program product, and computer system for selecting strangers for information spreading on a social network. For the strangers who are users of the social network and not related to each other, information spreading probabilities based on features, information reach, and information spreading probabilities based on a wait time are computed. Fitness scores of the strangers are computed; the fitness scores are a function of the information spreading probabilities, the information reach, and the information spreading probabilities. The strangers are ranked, based on the fitness scores, in a sorted set. One or more of the strangers for the information spreading are selected from the sorted set. The one or more of the strangers for the information spreading are selected by determining an interval in the sorted set, and the interval satisfies an optimization objective of maximizing an information spreading rate.
摘要翻译： 计算机实现的方法，计算机程序产品和用于在社交网络上传播信息的陌生人的计算机系统。 对于作为社交网络的用户并且不相关的陌生人，计算基于特征，信息到达和基于等待时间的信息传播概率的信息传播概率。 计算陌生人的健身得分; 适应度分数是信息传播概率，信息到达和信息传播概率的函数。 陌生人根据健身得分在排序集中排名。 从排序集中选择一个或多个用于信息传播的陌生人。 通过确定分类集合中的间隔来选择用于信息扩展的一个或多个陌生人，并且该间隔满足最大化信息扩展速率的优化目标。
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公开(公告)号：US20150356480A1
公开(公告)日：2015-12-10
申请号：US14300342
申请日：2014-06-10
发明人： Jalal U. Mahmud , Aditya Pal , Fei Wang
CPC分类号： G06Q10/06311 , G06Q50/01
摘要： In a method for determining group attributes and matching tasks to a group, a plurality of individual attributes for members of a first group of a plurality of groups are determined, wherein each individual attribute has a type. Parameters of a first distribution of at least one type of individual attribute across members of the first group are estimated. Group attributes of the first group are determined based, at least in part, on the estimated parameters of the first distribution of at least one type of individual attribute. The determined group attributes of the first group are stored in a repository, wherein the repository includes group attributes associated with each group of the plurality of groups. A task is received, wherein the task is associated with a specific group attribute and the task is matched to one group of the plurality of groups based on the specific group attribute.
摘要翻译： 在用于确定组属性和将任务与组匹配的方法中，确定多个组中的第一组的成员的多个单独属性，其中每个单独属性具有类型。 估计跨越第一组的成员的至少一种类型的个体属性的第一分布的参数。 至少部分地基于至少一种类型的个体属性的第一分布的估计参数确定第一组的组属性。 所确定的第一组的组属性存储在存储库中，其中所述存储库包括与所述多个组中的每个组相关联的组属性。 接收到任务，其中所述任务与特定组属性相关联，并且所述任务基于所述特定组属性与所述多个组中的一组匹配。
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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：US11380213B2
公开(公告)日：2022-07-05
申请号：US15897487
申请日：2018-02-15
IPC分类号： G09B19/00 , G06Q30/00 , G09B19/04 , G09B7/06 , G09B5/02 , G09B5/04 , H04L51/02 , G09B7/02 , G06F40/42 , G06F40/35
摘要： In an approach for training customer service agents using persona-based chatbots, a processor retrieves customer service interaction information. A processor analyzes, using natural language processing, the customer service interaction information, wherein the analyzing includes preprocessing and aggregating the customer service interaction information. A processor interacts with a user. A processor provides feedback to the user, based on the user's style and performance during training.
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