公开(公告)号：US10003923B2

公开(公告)日：2018-06-19

申请号：US15610235

申请日：2017-05-31

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Hongfei Li ,  Anshul Sheopuri ,  Jinfeng Yi ,  Qi Yu

IPC: H04W24/00 ,  H04W4/02 ,  H04M1/725 ,  H04W4/08 ,  H04W64/00

CPC classification number: H04W4/023 ,  H04M1/72522 ,  H04M1/72572 ,  H04W4/029 ,  H04W4/08 ,  H04W4/21 ,  H04W64/00

Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.

公开(公告)号：US09971976B2

公开(公告)日：2018-05-15

申请号：US14493504

申请日：2014-09-23

Applicant: International Business Machines Corporation

Inventor： Wesley M. Gifford ,  Pavankumar Murali ,  Anshul Sheopuri

IPC: G06F17/30 ,  G06Q10/00 ,  G06F19/00

CPC classification number: G06Q10/00 ,  G06F17/3053 ,  G06F17/30867 ,  G06F19/00 ,  G16H50/30

Abstract: Selecting candidates from a set of candidates by receiving a set of input parameters about a single aspect of the candidates and applying multiple scoring methods to those input parameters to compute a candidate score via each scoring method. A subset of zero or more candidates is then selected from the set of candidates by applying one or more selection criteria to the set of scores. There is not necessarily a value for every input parameter of every candidate.

公开(公告)号：US20170116554A1

公开(公告)日：2017-04-27

申请号：US14924370

申请日：2015-10-27

Applicant: International Business Machines Corporation ,  Skillsoft Ireland Limited

Inventor： Shota Aki ,  John J. Ambrose ,  Yi-Min Chee ,  Wesley M. Gifford ,  Ashish Jagmohan ,  Suzanne M. Rodeman ,  Anshul Sheopuri

IPC: G06Q10/06

CPC classification number: G06Q10/06393 ,  G06Q50/2057

Abstract: Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.

公开(公告)号：US20160085754A1

公开(公告)日：2016-03-24

申请号：US14493504

申请日：2014-09-23

Applicant: International Business Machines Corporation

Inventor： Wesley M. Gifford ,  Pavankumar Murali ,  Anshul Sheopuri

IPC: G06F17/30

CPC classification number: G06Q10/00 ,  G06F17/3053 ,  G06F17/30867 ,  G06F19/00 ,  G16H50/30

Abstract: Selecting candidates from a set of candidates by receiving a set of input parameters about a single aspect of the candidates and applying multiple scoring methods to those input parameters to compute a candidate score via each scoring method. A subset of zero or more candidates is then selected from the set of candidates by applying one or more selection criteria to the set of scores. There is not necessarily a value for every input parameter of every candidate.

Abstract translation: 通过接收关于候选人的单个方面的一组输入参数来选择候选人的候选，并且通过每个评分方法将多个评分方法应用于那些输入参数以计算候选分数。 然后通过对一组分数应用一个或多个选择标准，从该候选集中选出零个或多个候选者的子集。 每个候选人的每个输入参数不一定是一个值。

公开(公告)号：US20140316846A1

公开(公告)日：2014-10-23

申请号：US13970024

申请日：2013-08-19

Applicant: International Business Machines Corporation

Inventor： John F. Bisceglia ,  Wesley M. Gifford ,  Anshul Sheopuri ,  Rose M. Williams

IPC: G06Q10/06

CPC classification number: G06Q10/0635 ,  G06Q40/00

Abstract: A method for estimating a risk associated with a project includes preparing a plurality of data models, where each of the plurality of data models examines a different dimension of the project, classifying each of the plurality of data models to produce a plurality of prediction models, where each of the plurality of prediction models is defined by a plurality of quality metrics, and where the plurality of quality metrics includes a preliminary estimate of the risk and a measure of confidence in the preliminary estimate, and computing a refined estimate of the risk based on a quality of the plurality of quality metrics.

公开(公告)号：US20140081713A1

公开(公告)日：2014-03-20

申请号：US13680002

申请日：2012-11-16

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Wesley M. Gifford ,  Anshul Sheopuri ,  Lav R. Varshney

IPC: G06Q10/06

CPC classification number: G06Q10/06398 ,  G06Q10/06

Abstract: A plan to incentivize performance is obtained based on objective and subjective metrics. A first step encompasses understanding the effect of actions on each objective metric on future service provider performance. A subset of objective metrics is obtained via regression analysis. For the subset identified in the first step, a set of clusters is identified in the multi-dimensional space of objective metrics. For each cluster, actions based on service provider performance relating to subjective metrics are effected. Expert guidance based on macroeconomic factors are further considered.

Abstract translation: 基于客观和主观指标，获得激励绩效的计划。 第一步包括了解行动对未来服务提供商绩效的每个客观度量的影响。 通过回归分析获得客观度量的一个子集。 对于在第一步骤中识别的子集，在客观度量的多维空间中识别一组聚类。 对于每个集群，基于与主观度量相关的服务提供者绩效的动作得以实现。 进一步考虑基于宏观经济因素的专家指导。

公开(公告)号：US11093818B2

公开(公告)日：2021-08-17

申请号：US15095916

申请日：2016-04-11

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Hongfei Li ,  Anshul Sheopuri ,  Jinfeng Yi ,  Qi Yu

IPC: G06N3/04

Abstract: A method and system are provided. The method includes receiving by a computer having a processor and a memory, sequence data that includes labeled data and unlabeled data. The method further includes generating, by the computer having the processor and the memory, a recurrent neural network model of the sequence data, the recurrent neural network model having a recurrent layer and an aggregate layer. The recurrent neural network model feeds sequences generated from the recurrent layer into the aggregate layer for aggregation, stores temporal dependencies in the sequence data, and generates labels for at least some of the unlabeled data.

公开(公告)号：US10373093B2

公开(公告)日：2019-08-06

申请号：US14924370

申请日：2015-10-27

Applicant: International Business Machines Corporation ,  Skillsoft Ireland Limited

Inventor： Shota Aki ,  John J. Ambrose ,  Yi-Min Chee ,  Wesley M. Gifford ,  Ashish Jagmohan ,  Suzanne M. Rodeman ,  Anshul Sheopuri

IPC: G06Q10/06 ,  G06Q50/20

Abstract: Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.

公开(公告)号：US20170272908A1

公开(公告)日：2017-09-21

申请号：US15610235

申请日：2017-05-31

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Hongfei Li ,  Anshul Sheopuri ,  Jinfeng Yi ,  Qi Yu

IPC: H04W4/02 ,  H04W64/00 ,  H04M1/725 ,  H04W4/08

CPC classification number: H04W4/023 ,  H04M1/72522 ,  H04M1/72572 ,  H04W4/02 ,  H04W4/08 ,  H04W64/00

Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.

公开(公告)号：US20170186041A1

公开(公告)日：2017-06-29

申请号：US14979984

申请日：2015-12-28

Applicant: International Business Machines Corporation

Inventor： Ying Li ,  Rong Liu ,  Pietro Mazzoleni ,  Pavankumar Murali ,  Sachin Pai ,  Anshul Sheopuri ,  Roman Vaculin

IPC: G06Q30/02

CPC classification number: G06Q30/0269 ,  G06Q30/0246 ,  G06Q30/0273

Abstract: An aspect of the disclosure includes a method, a system and a computer program product for retargeting content to a decision making unit. The method including determining a journey stage for each of the plurality of individuals. A retargeting strategy is identified for each of the plurality of individuals, the retargeting strategy based at least in part on the journey stage for each of the plurality of individuals and a cost factor. Content data is transmitted to at least one of the plurality of individuals using retargeting based at least in part on the retargeting strategy.