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公开(公告)号：US11169612B2
公开(公告)日：2021-11-09
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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公开(公告)号：US10453083B2
公开(公告)日：2019-10-22
申请号：US14919852
申请日：2015-10-22
Applicant: International Business Machines Corporation
Inventor： Norbert Herman , Daniel T. Lambert
IPC: G06F17/30 , G06Q30/02 , G06F16/28 , G06F16/955 , G06F16/9535 , G06N20/00 , G06Q10/06 , G06Q50/00
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.
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公开(公告)号：US10430465B2
公开(公告)日：2019-10-01
申请号：US15398224
申请日：2017-01-04
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Andrew R. Freed , Norbert Herman , Shubhadip Ray , Avik Sanyal
IPC: G06N20/00 , G06F16/903 , G06F16/9032
Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: determining user clusters and navigation-type clusters based on multiple information requests, and training facets and corresponding usefulness factor of the facets from the multiple information requests by machine learning. When a user submits a query, the user and the query is respectively mapped with one of the user clusters and the navigation-type clusters, and the query is customized based on the associated pair of clusters. Results of the query are obtained, ranked by usefulness of the facets as determined according to the pair of clusters, and presented to the user.
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公开(公告)号：US10359763B2
公开(公告)日：2019-07-23
申请号：US14886433
申请日：2015-10-19
Applicant: International Business Machines Corporation
Inventor： Karl J. Cama , Norbert Herman , Shubhadip Ray
IPC: B29C67/00 , 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：US20180197085A1
公开(公告)日：2018-07-12
申请号：US15401331
申请日：2017-01-09
Applicant: International Business Machines Corporation
Inventor： Rama Kalyani T. Akkiraju , Karl J. Cama , Norbert Herman , Shubhadip Ray
CPC classification number: G06F16/90335 , G06F2216/03 , G06N5/025
Abstract: Generating insight on a set of data is provided. A request for information regarding a specific topic is received from a client device corresponding to a requester. An analysis is performed on the request and a type of the information requested is determined based on the analysis. A set of information vendors is selected from a plurality of known information vendors based on the type of the information requested and other factors. Insights on the type of the information requested are obtained from the selected set of information vendors and an analysis is performed on the insights. A response to the request is generated based on the analysis of the insights on the type of the information requested that was obtained from the selected set of information vendors. The response to the request is sent to the client device corresponding to the requester.
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Patent Agency Ranking
公开(公告)号：US20180082338A1
公开(公告)日：2018-03-22
申请号：US15272556
申请日：2016-09-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Norbert Herman , Sarbajit K. Rakshit , Craig M. Trim , Henry C. Will, IV
IPC: G06Q30/02
CPC classification number: G06Q30/0276 , G06Q30/0269
Abstract: A method for generating and presenting customized advertisement messages to consumers is provided. The method may include receiving advertisement messages. The method may further include identifying first essential portions and first non-essential portion in each received advertisement message. Additionally, the method may include presenting the received advertisement messages to consumers based on the first essential portions and the first non-essential portions. The method may also include collecting consumer profile data on each consumer based on the presented received advertisement messages. The method may further include identifying second essential portions and second non-essential portions in each of the presented received advertisement messages. The method may also include customizing the presented received advertisement messages based on the first essential portions, the first non-essential portions, the second essential portions, and the second non-essential portions. The method may further include presenting the customized advertisement messages based on each consumer.
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公开(公告)号：US09721207B2
公开(公告)日：2017-08-01
申请号：US14287432
申请日：2014-05-27
Applicant: International Business Machines Corporation
Inventor： Karl J. Cama , Norbert Herman , Daniel T. Lambert
CPC classification number: G06N5/022 , G06F17/30011 , G06F17/30719
Abstract: The disclosure is directed to written content generation. A method for generating written content in an application in accordance with an embodiment includes: receiving a query from a user; importing data from at least one data source in response to the query; ranking the imported data based on a plurality of ranking factors to determine a relevance of the imported data; automatically generating written content using at least a portion of the imported data based on the determined relevance of the imported data; and automatically customizing the written content based on a file format of the application.
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公开(公告)号：US20170139916A1
公开(公告)日：2017-05-18
申请号：US14939035
申请日：2015-11-12
Applicant: International Business Machines Corporation
Inventor： KARL J. CAMA , Andrew R. Freed , Norbert Herman , Shubhadip Ray
IPC: G06F17/30
CPC classification number: G06F17/30867
Abstract: For a search query submitted by a user, a result set including a plurality of pages is obtained. A first and a second personality score of a first and a second page, respectively, is determined using a value of a personality trait of the user and a weight associated with the value, and at least one of (i) a personality score of a site from which a first page is obtained based on a personality analysis of another content on the site, and (ii) a personality score of an author of the first page based on a personality analysis of another content published by the author. The first page is ordered ahead of the second page when the first personality score exceeding the second personality score, even when the first page and the second page are equally relevant to the search query.
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公开(公告)号：US20170098387A1
公开(公告)日：2017-04-06
申请号：US14875668
申请日：2015-10-05
Applicant: International Business Machines Corporation
Inventor： Karl J. Cama , Alessandra Coletti , Norbert Herman , Shubhadip Ray
Abstract: A set of biometric data about the athlete and a set of environmental data about a sporting event in which the athlete is to compete are received at a first time. Using previously saved data, a relationship is determined between a biometric factor of another athlete, an environmental factor of a previous sporting event, and an outcome of the previous sporting event. Using a subset of the set of biometric data and a subset of the set of environmental data, in conjunction with the relationship, a probability of a desired outcome of the athlete's performance in the sporting event is determined. A composition of the sports nutrition, a dosage of the composition, and a time of administering the dosage are computed and recommended for administering to the athlete to change the probability of the desired outcome to a second probability.
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公开(公告)号：US20160042372A1
公开(公告)日：2016-02-11
申请号：US14919852
申请日：2015-10-22
Applicant: International Business Machines Corporation
Inventor： Norbert Herman , Daniel T. Lambert
CPC classification number: G06Q30/0204 , G06F16/285 , G06F16/9535 , G06F16/955 , G06N20/00 , G06Q10/067 , G06Q30/0224 , G06Q30/0255 , 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更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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