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公开(公告)号：US10127300B2
公开(公告)日：2018-11-13
申请号：US14138799
申请日：2013-12-23
发明人： Barton A. Smith , Fei Wang , Wei Zhang , Michelle X. Zhou
摘要： A pairwise relationship data set with multiple attributes (such as, who, what, when, where, how) and with the what attribute (also called the topic attribute) having a word dimension and a people dimension. The data in the topic dimension of the what attribute relates to topics (including other people) relating to the specific, human, personal relationship between the first person and the second person of the pairwise pair. The what attribute data is derived by processing basis data, which includes correspondence data (that is, the substance of correspondence that the first and second persons participate in, including instant messaging and e-mail exchanges. Pairwise relationship data is displayed to a user in real time during a chat session.
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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：US20160283577A1
公开(公告)日：2016-09-29
申请号：US15179228
申请日：2016-06-10
发明人： Barton A. Smith , Fei Wang , Wei Zhang , Michelle X. Zhou
CPC分类号： G06F17/30598 , G06F17/30312 , G06F17/30528 , G06F17/30554 , G06F17/30867 , G06F17/30914 , G06F17/30917 , G06Q10/10 , G06Q50/01 , H04L51/046 , H04L65/1069
摘要： A pairwise relationship data set with multiple attributes (such as, who, what, when, where, how) and with the what attribute (also called the topic attribute) having a word dimension and a people dimension. The data in the topic dimension of the what attribute relates to topics (including other people) relating to the specific, human, personal relationship between the first person and the second person of the pairwise pair. The what attribute data is derived by processing basis data, which includes correspondence data (that is, the substance of correspondence that the first and second persons participate in, including instant messaging and e-mail exchanges. Pairwise relationship data is displayed to a user in real time during a chat session.
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公开(公告)号：US10832349B2
公开(公告)日：2020-11-10
申请号：US14293094
申请日：2014-06-02
发明人： Jilin Chen , Huiji Gao , Jalal U. Mahmud , Michelle X. Zhou
摘要： Embodiments relate to user attitude modeling and behavior prediction for a social media network. One aspect includes collecting data relating to previously demonstrated sentiments, opinions, and actions attributed to network users toward a topic. Another aspect includes creating a model from the data, which includes factorizing the actions for behavior inference, factorizing auxiliary content from the network for opinion and sentiment inferences, and applying sentiment and opinion regularization to constrain user preferences on implicit topics to explicit sentiments and explicit opinions. Another aspect includes applying the model to a new user of the network with respect to the topic, and generating a prediction with respect to the user that includes predicting sentiment and opinion as a function of the auxiliary content and feature coefficients learned during a training process, and predicting a future action of the user as a function of the auxiliary content and latent profiles of the topic.
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公开(公告)号：US10282460B2
公开(公告)日：2019-05-07
申请号：US15179228
申请日：2016-06-10
发明人： Barton A. Smith , Fei Wang , Wei Zhang , Michelle X. Zhou
摘要： A pairwise relationship data set with multiple attributes (such as, who, what, when, where, how) and with the what attribute (also called the topic attribute) having a word dimension and a people dimension. The data in the topic dimension of the what attribute relates to topics (including other people) relating to the specific, human, personal relationship between the first person and the second person of the pairwise pair. The what attribute data is derived by processing basis data, which includes correspondence data (that is, the substance of correspondence that the first and second persons participate in, including instant messaging and e-mail exchanges. Pairwise relationship data is displayed to a user in real time during a chat session.
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6.发明申请公开(公告)号：US20160042428A1
公开(公告)日：2016-02-11
申请号：US14453081
申请日：2014-08-06
发明人： Liang Gou , Aditya Pal , Fei Wang , Michelle X. Zhou
CPC分类号： G06Q30/0631
摘要： Brands and users are matched by determining their personalities and pairing them based on user-brand associations. Modeling parameters are estimated based on the personalities of each pair. Additional pairs of users and brands having unknown associations are identified, and each such additional pair's correlation, which may be a score, is determined, based on the modelling parameters. Brands and users having unknown associations are matched based on their correlations scores matching one or more criteria.
摘要翻译： 品牌和用户通过确定他们的个性并根据用户品牌关联进行配对来匹配。 建模参数根据每对人物的个性来估计。 识别具有未知关联的另外的用户对和品牌，并且基于建模参数来确定可以是分数的每个这样的附加对的相关性。 基于与一个或多个标准相关的相关性分数，具有未知关联的品牌和用户被匹配。
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7.发明授权公开(公告)号：US09195635B2
公开(公告)日：2015-11-24
申请号：US13793020
申请日：2013-03-11
发明人： Shixia Liu , Shimei Pan , Wei Hong Qian , Yangqiu Song , Fei Wang , Michelle X. Zhou
CPC分类号： G06F17/21 , G06F17/2229
摘要： Visualizing content change of a data collection over time. A topic may be split into multiple linear, non-overlapping sub-topics along a timeline by satisfying a diverse set of semantic, temporal, and visualization constraints simultaneously. For each derived sub-topic, a set of representative keywords may be automatically selected to summarize the main content of the sub-topic.
摘要翻译： 随着时间的推移可视化数据收集的内容变化。 通过同时满足语义，时间和可视化约束的不同集合，主题可以沿着时间轴被分割成多个线性的，不重叠的子主题。 对于每个派生的子主题，可以自动选择一组代表性关键词来总结子主题的主要内容。
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8.发明申请SMART QUESTION ROUTING AND ANSWERER GROWING FOR ONLINE COMMUNITY QUESTION-ANSWER SERVICES 有权智能问题路由和解答在线社区问题解答服务公开(公告)号：US20150120718A1
公开(公告)日：2015-04-30
申请号：US14061804
申请日：2013-10-24
发明人： Lin Luo , Fei Wang , Michelle X. Zhou
IPC分类号： G06F17/30
CPC分类号： G06F17/30699
摘要： A computer processor accesses QA forum activity associated with users of a QA forum, wherein the QA forum activity contains historical questions, historical answers, and profiles, each having elements including QA forum information. The processor accesses historical online social activity corresponding to the users of the QA forum, each historical online social activity having elements including at least social activity information. The processor performs a first similarity calculation and selects an at least one model answerer based on the similarity between elements of a question on the QA forum, and the elements of the QA forum activity associated and corresponding to each of the users of the QA forum. Based on a second similarity calculation, the processor determines a similarity between the QA forum user elements and the at least one model answerer elements, and identifies at least one prospect answerer from the QA forum users.
摘要翻译： 计算机处理器访问与质量检查论坛用户相关的QA论坛活动，其中质量检查论坛活动包含历史问题，历史回答和简档，每个元素都包含质量检查论坛信息。 处理器访问对应于质量检查论坛的用户的历史在线社交活动，每个历史在线社交活动具有至少包括社交活动信息的元素。 处理器执行第一相似性计算，并且基于QA论坛上的问题的元素之间的相似性以及与质量检查论坛的每个用户相关联并对应的质量检查论坛活动的元素，选择至少一个模型回答者。 基于第二相似性计算，处理器确定QA论坛用户元素和至少一个模型回答者元素之间的相似性，并且从QA论坛用户识别至少一个潜在客户答复者。
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公开(公告)号：US10051069B2
公开(公告)日：2018-08-14
申请号：US14554092
申请日：2014-11-26
发明人： Mengdie Hu , Jalal U. Mahmud , Aditya Pal , Huahai Yang , Michelle X. Zhou
摘要： Embodiments of the invention relate to assessing characteristics of a message and a message recipient. A trust model is established to take into account a set of trust antecedents, including characteristics of the messages and properties of the recipients, a set of action motivations, and their contribution to the action-based trust measurement. The assessment(s) is utilized to produce a tangible trust measurement that is employed to gauge the recipient's perception of credibility towards the received message.
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公开(公告)号：US20160364733A1
公开(公告)日：2016-12-15
申请号：US14734670
申请日：2015-06-09
发明人： Geli Fei , Jalal U. Mahmud , Aditya Pal , Michelle X. Zhou
CPC分类号： G06Q30/0201 , G06F17/18 , G06N20/00 , G06Q30/0202 , G06Q30/0282 , G06Q50/01
摘要： Embodiments relate to a tool for predicting an attitude of a user towards a target without directly surveying the user. Social media data associated with or related to a target is collected and stored. A set of attitude features are computed from the collected data. A statistical model is built with both the collected data and the assessed attitude features. The statistical data is converted to an attitude prediction, with the prediction emanating from personal and social characteristics as evident in the social media data.
摘要翻译： 实施例涉及用于在不直接测量用户的情况下预测用户对目标的态度的工具。 收集并存储与目标相关联或与目标有关的社交媒体数据。 从收集的数据计算一组态度特征。 统计模型是建立在收集的数据和评估的态度特征。 将统计数据转换为态度预测，社会媒体数据中显示出个人和社会特征的预测。
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