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公开(公告)号：US11300945B2
公开(公告)日：2022-04-12
申请号：US16390771
申请日：2019-04-22
Applicant: International Business Machines Corporation
Inventor： Karl J. Cama , Norbert Herman , Shubhadip Ray
IPC: G05B19/4099 , B33Y50/02 , B29C64/386
Abstract: Using an analytical model, a problem related to a product is identified from a collection of report data, the product being a three dimensional (3D) solid having a shape and produced from a manufacturing process. The problem is correlated with a set of factors. The set of factors describes a circumstance in which a user performs an operation of the product. According to a weight assigned to the problem, the problem is selected for prototyping. Using a processor and a memory, the set of factors and the operation are simulated by using a modified design of the product. In response to the modified design solving the problem, a specification of the modified design is provided for 3D printing to the user.
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公开(公告)号：US10977567B2
公开(公告)日：2021-04-13
申请号：US15912788
申请日：2018-03-06
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Karl J. Cama , Norbert Herman , Shubhadip Ray
IPC: G06N5/04 , G06F16/29 , G01S19/14 , B60W40/00 , G06K9/00 , G06Q40/08 , G06Q50/30 , G08G1/01 , G08G1/04 , G08G1/048 , G08G1/052 , G08G1/09 , G06K9/62 , G06N3/08 , G08G1/0962
Abstract: A vehicle accident detection method and system is provided. The method includes receiving location coordinates associated with a location of an occurring vehicular accident. Data associated with possible causes of the vehicular accident is received from sensors. Traffic related rules associated with a geographical location are retrieved and analyzed with respect to the data. Parameters associated with at least one vehicle involved in the vehicular accident and a possible cause are determined via execution of programming logic and transmitted to additional systems. The possible cause for the vehicular accident is determined from all possible causes based on matching current and historical accident circumstances. Additionally, weighting factors may be available and adjusted over time for accurate accident detection. A possible cause comprising a greatest weighting factor may be used to identify a most likely cause.
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公开(公告)号：US20170124074A1
公开(公告)日：2017-05-04
申请号：US14928084
申请日：2015-10-30
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Karl J. Cama , Andrew R. Freed , Norbert Herman , Shubhadip Ray
IPC: G06F17/30
CPC classification number: G06F17/3005 , G06F17/30035 , G06F17/3053 , G06F17/30752 , G06F17/30766
Abstract: A method and system implemented for generating a music recommendation intended to surprise and delight a user using data and computer analytics. The method and system collects and categorizes musical preferences using past preferences, user demographics, social media data and psychological variables which include the Big-5 personality traits of the user to generate a profile containing preferred musical parameters. The method and system categorize music based on different dimensions and compare music with a user generated profile containing preferred music parameters. The method and system may search for additional music across two vectors, parameters that closely resemble the preferred musical parameters, and outlying parameters that extend outside the preferred parameters, in order to locate and present musical recommendations that have similarities to the preferred music of the user, but variable enough to surprise and delight the user.
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公开(公告)号：US20170109806A1
公开(公告)日：2017-04-20
申请号：US14885188
申请日：2015-10-16
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Siddique M. Adoni , Norbert Herman , Shubhadip Ray , Dhandapani Shanmugam
IPC: G06Q30/06
CPC classification number: G06Q30/0631
Abstract: Systems and methods for providing a food product recommendation are disclosed. A computer-implemented method includes: determining, by a computing device, that a user with a mobile device enters a store; obtaining, by the computing device, user data that is based on wearable health data, taste data, and preference data of the user; obtaining, by the computing device, store data for plural food products; determining, by the computing device, a recommended food product from the plural food products based on comparing the user data to the store data; and providing, by the computing device, an indication of the recommended one of the plural food products for display on the mobile device of the user. The user data may be that of a single user or plural users, such as a family.
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公开(公告)号：US09293041B2
公开(公告)日：2016-03-22
申请号：US14243287
申请日：2014-04-02
Applicant: International Business Machines Corporation
Inventor： Karl J. Cama , Norbert Herman , Daniel T. Lambert , Philip A. Westcott
CPC classification number: G08G1/07 , G01S5/0036 , G01S5/0252 , G01S19/13 , G08G1/012 , G08G1/0125 , G08G1/0133 , G08G1/0145 , G08G1/08
Abstract: Various embodiments include a system having: at least one computing device configured to monitor a motor vehicle traffic pattern by performing actions including: obtaining telecommunications data from a plurality of mobile devices within a hyper-local area over a hyper-local period; identifying a set of mobile devices within the plurality of mobile devices travelling by motor vehicle from the telecommunications data; determining the motor vehicle traffic pattern based upon the telecommunications data from the set of mobile devices traveling by motor vehicle; comparing the determined motor vehicle traffic pattern with a threshold motor vehicle traffic pattern; and providing instructions for modifying at least one traffic signal device in response to the determined motor vehicle traffic pattern deviating from the threshold motor vehicle traffic pattern.
Abstract translation: 各种实施例包括具有：至少一个计算设备，被配置为通过执行动作来监视机动车辆交通模式，所述动作包括：在超地域周期内从超地域区域内的多个移动设备获取电信数据; 识别通过机动车辆从电信数据行进的多个移动设备内的一组移动设备; 基于来自机动车辆行驶的一组移动设备的电信数据确定机动车辆交通模式; 将确定的机动车辆交通模式与阈值机动车辆交通模式进行比较; 以及提供用于响应于所述确定的偏离所述阈值机动车辆交通模式的机动车辆交通模式来修改至少一个交通信号装置的指令。
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Patent Agency Ranking
公开(公告)号：US20150088608A1
公开(公告)日：2015-03-26
申请号：US14037968
申请日：2013-09-26
Applicant: International Business Machines Corporation
Inventor： Karl J. Cama , Norbert Herman , Daniel Lambert
IPC: G06Q30/00
Abstract: A method and system for analyzing customer feedback is provided. The method includes accessing a keyword and word mapping database and receiving consumer feedback data associated with a product or service. The consumer feedback data includes feedback data groups. Each group is divided into segments based on word analysis. Each segment is analyzed with respect to the keyword and thesaurus database. A score is generated for each segment and a composite score is generated for each feedback data group. Each composite score is stored.
Abstract translation: 提供了一种用于分析客户反馈的方法和系统。 该方法包括访问关键字和词映射数据库并接收与产品或服务相关联的消费者反馈数据。 消费者反馈数据包括反馈数据组。 基于单词分析，每组分为几段。 关于关键字和词库数据库分析每个细分。 为每个分段生成分数，并为每个反馈数据组生成综合分数。 存储每个综合得分。
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公开(公告)号：US20140365305A1
公开(公告)日：2014-12-11
申请号：US13913634
申请日：2013-06-10
Applicant: International Business Machines Corporation
Inventor： Yoel Arditi , Norbert Herman , Daniel T. Lambert
IPC: G06Q30/02
CPC classification number: G06Q30/0269 , G06Q30/0261
Abstract: Embodiments herein provide geospatial-temporal next-best-action decisions. Specifically, a predictive modeling tool is configured to receive, from a user, a first instance of unstructured data, the unstructured data containing an indicator of a transacting opportunity, and generate a profile for the user by combining the unstructured data with structured data, the profile including personality characteristics and identifying information of the user. The profile is used to identify the user as a producer of a second instance of unstructured data by comparing the personality characteristics and identifying information of the user to the second instance of unstructured data. A commercial offer is then generated based on information from the profile of the user and at least one of the first instance of unstructured data or the second instance of unstructured data, and the offer is communicated to the user when the user is located within a predetermined proximity to a retailer.
Abstract translation: 本文的实施例提供了地理空间 - 时间的下一个最佳动作决定。 具体地，预测建模工具被配置为从用户接收非结构化数据的第一实例，非结构化数据包含交易机会的指示符，并且通过将非结构化数据与结构化数据组合来生成用户的简档， 简档包括用户的个性特征和识别信息。 该简档用于通过将用户的个性特征和用户的识别信息与非结构化数据的第二实例进行比较来将用户识别为非结构化数据的第二实例的生成者。 然后基于来自用户的简档的信息和非结构化数据的第一实例或非结构化数据的第二实例中的至少一个生成商业报价，并且当用户位于预定的 邻近零售商。
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公开(公告)号：US20140344270A1
公开(公告)日：2014-11-20
申请号：US13895947
申请日：2013-05-16
Applicant: International Business Machines Corporation
Inventor： Daniel Lambert , Norbert Herman
IPC: G06F17/30
CPC classification number: G06Q30/0204 , G06F17/30598 , G06F17/30867 , G06F17/30876 , G06N99/005 , G06Q10/067 , G06Q50/01
Abstract: Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.
Abstract translation: 本文的实施例提供用于下一最佳动作决定的数据聚类和用户建模。 具体地，建模工具被配置为：从多个用户接收非结构化社交数据内的指标; 分析所述多个用户中的每一个的非结构化社交数据，以向所述多个用户中的每一个分配一组特征向量，每个特征向量对应于所述多个用户中的每一个的一个或多个个性特征; 并且分析特征向量以识别来自共享一组相似特征向量的多个用户中的两个或更多个用户。 该建模工具还被配置为：从共享该组相似特征向量的多个用户中分组两个或多个用户以形成群集; 识别集群的属性; 并将集群的属性输入到预测模型中以确定与集群相对应的报价。
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公开(公告)号：US11200403B2
公开(公告)日：2021-12-14
申请号：US15141484
申请日：2016-04-28
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Raghu K. Ganti , Norbert Herman , Shubhadip Ray , Mudhakar Srivatsa
Abstract: A method and system are provided for next location prediction. The method includes inferring, by a hardware processor, a store layout, based on user location data and user transaction data for a plurality of users. The method further includes clustering, by the hardware processor, the plurality of users based on the user transaction data to form a set of clusters. The method also includes ensembling, by the hardware processor, users within each of the clusters and building a location prediction model for each of the clusters. The method additionally includes predicting, by the hardware processor, a next location of a particular user from the plurality of users based on a weighted vote taken over the location prediction model for the cluster corresponding to the particular user. The cluster corresponding to the particular user includes at least one other user from the plurality of users in addition to the particular user.
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公开(公告)号：US20200167001A1
公开(公告)日：2020-05-28
申请号：US16201338
申请日：2018-11-27
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Craig M. Trim , Sarbajit K. Rakshit , Norbert Herman , Shubhadip Ray
Abstract: A method and system for improving wearable device function control is provided. The method includes detecting a first gesture executed by a user. A speed and direction of the first gesture; an eye focus of the user, and a time period associated with eye focus being directed towards a display portion of a wearable device are detected. The first gesture is analyzed with respect to previously determined mapping data, the speed and direction of the first gesture, the eye focus of the user, and the time period. In response, a specified function of the wearable device associated with the first gesture is determined and executed.
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