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1. 发明公开

EP3242260A1 KNOWLEDGE INFERENCE APPARATUS AND METHODS TO DETERMINE EMERGING INDUSTRIAL TRENDS AND ADAPT STRATEGIC REASONING THEREOF 审中-公开
标题翻译：知识推理装置和方法来确定新兴工业发展趋势和适应战略推理THEREOF
公开(公告)号：EP3242260A1
公开(公告)日：2017-11-08
申请号：EP17168850.0
申请日：2017-04-28
申请人： Indiggo Associates LLC
发明人： PERINCHERRY, Vijay , GELBART, Janine , INZELSTEIN, Marc
IPC分类号： G06Q10/10 , G06Q50/20
CPC分类号： G06N5/04 , G06F17/30864 , G06N5/022 , G06Q10/105 , G06Q10/1093 , G06Q50/205
摘要： Knowledge inference apparatus and method to determine emerging industrial trends and adapt strategic reasoning thereof are provided. In some aspects, user data, user stimulus-responses and user tracked data is received at a knowledge inference apparatus from multiple compute devices. The knowledge inference apparatus can generate compressed multidimensional profiles corresponding to multiple users and infer based on the received data, and the compressed multidimensional profiles multiple emerging trends developing in an industry. In some other aspects, the knowledge inference apparatus can further develop individualized strategic information for the multiple users to adequately respond to the inferred emerging trends.
摘要翻译：提供了确定新兴行业趋势并对其进行策略推理的知识推理装置和方法。在一些方面，用户数据，用户激励 - 响应和用户跟踪的数据在知识推断装置中从多个计算设备接收。知识推断装置可以生成对应于多个用户的压缩多维轮廓，并且基于所接收的数据来推断，并且压缩的多维轮廓在行业中发展多个新兴趋势。在一些其他方面，知识推断装置可以进一步开发用于多个用户的个性化策略信息以充分响应推断的新兴趋势。

2. 发明公开

EP3229153A1 APPARATUS AND METHODS FOR GENERATING DATA STRUCTURES TO REPRESENT AND COMPRESSED DATA PROFILES 审中-公开
标题翻译：用于生成数据结构以表示和压缩数据配置文件的设备和方法
公开(公告)号：EP3229153A1
公开(公告)日：2017-10-11
申请号：EP17165375.1
申请日：2017-04-06
申请人： Indiggo Associates LLC
发明人： PERINCHERRY, Vijay , GELBART, Janine , INZELSTEIN, Marc
IPC分类号： G06F17/30
CPC分类号： G06T11/206 , G06F3/0481 , G06F3/0484 , G06F17/30035 , G06F17/30153 , G06F17/3053 , G06F17/30997
摘要： Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.
摘要翻译：这里描述的实施例一般涉及用于构造和处理数据的装置和方法。在一些实施例中，一种方法包括经由处理器接收刺激响应数据，刺激响应数据包括刺激的数字表示和响应的数字表示。处理器基于规则计算与刺激 - 响应数据相关联的权重，并且识别：（1）基于刺激的数字表示的分布类型; 和（2）基于响应的数字表示的分布类型的倾斜值的范围。处理器编译与刺激 - 响应数据的对象相关联并且基于重量，分布类型的数字表示以及倾斜度值范围的数字表示的压缩的多维数据简档。

3. 发明申请

US20200302341A1 ADAPTIVE CORRELATION OF USER-SPECIFIC COMPRESSED MULTIDIMENSIONAL DATA PROFILES TO ENGAGEMENT RULES 审中-公开
公开(公告)号：US20200302341A1
公开(公告)日：2020-09-24
申请号：US16895004
申请日：2020-06-08
申请人： Indiggo Associates LLC
发明人： Vijay PERINCHERRY , Janine GELBART , Marc INZELSTEIN
IPC分类号： G06N20/00 , G06F16/907 , G06N5/02
摘要： Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

4. 发明授权

US10671930B2 Knowledge inference apparatus and methods to determine emerging industrial trends and adapt strategic reasoning thereof 审中-公开
公开(公告)号：US10671930B2
公开(公告)日：2020-06-02
申请号：US15143629
申请日：2016-05-01
申请人： Indiggo Associates LLC
发明人： Vijay Perincherry , Janine Gelbart , Marc Inzelstein
IPC分类号： G06N5/04 , G06N5/02 , G06Q10/10 , G06F16/951 , G06Q50/20
摘要： Knowledge inference apparatus and method to determine emerging industrial trends and adapt strategic reasoning thereof are provided. In some aspects, user data, user stimulus-responses and user tracked data is received at a knowledge inference apparatus from multiple compute devices. The knowledge inference apparatus can generate compressed multidimensional profiles corresponding to multiple users and infer based on the received data, and the compressed multidimensional profiles multiple emerging trends developing in an industry. In some other aspects, the knowledge inference apparatus can further develop individualized strategic information for the multiple users to adequately respond to the inferred emerging trends.

5. 发明授权

US10255700B2 Apparatus and methods for generating data structures to represent and compress data profiles 有权
公开(公告)号：US10255700B2
公开(公告)日：2019-04-09
申请号：US15092349
申请日：2016-04-06
申请人： Indiggo Associates LLC
发明人： Vijay Perincherry , Janine Gelbart , Marc Inzelstein
IPC分类号： G06F17/00 , G06T11/20 , G06F3/0481 , G06F3/0484 , G06F17/30
摘要： Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

6. 发明授权

US10719784B2 Adaptive correlation of user-specific compressed multidimensional data profiles to engagement rules 有权
公开(公告)号：US10719784B2
公开(公告)日：2020-07-21
申请号：US16458801
申请日：2019-07-01
申请人： Indiggo Associates LLC
发明人： Vijay Perincherry , Janine Gelbart , Marc Inzelstein
IPC分类号： G06F16/907 , G06N5/02 , G06N20/00
摘要： Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

7. 发明申请

US20170294037A1 APPARATUS AND METHODS FOR GENERATING DATA STRUCTURES TO REPRESENT AND COMPRESSED DATA PROFILES 审中-公开
公开(公告)号：US20170294037A1
公开(公告)日：2017-10-12
申请号：US15092349
申请日：2016-04-06
申请人： Indiggo Associates LLC
发明人： Vijay PERINCHERRY , Janine GELBART , Marc INZELSTEIN
IPC分类号： G06T11/20 , G06F3/0481 , G06F17/30 , G06F3/0484
CPC分类号： G06T11/206 , G06F3/0481 , G06F3/0484 , G06F17/30035 , G06F17/30153 , G06F17/3053 , G06F17/30997
摘要： Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

8. 发明申请

US20170293855A1 ADAPTIVE SYSTEMS, APPARATUS AND METHODS FOR CORRELATING COMPRESSED MULTIDIMENSIONAL DATA PROFILES TO ENGAGEMENT RULES 审中-公开
公开(公告)号：US20170293855A1
公开(公告)日：2017-10-12
申请号：US15092351
申请日：2016-04-06
申请人： Indiggo Associates LLC
发明人： Vijay PERINCHERRY , Janine GELBART , Marc INZELSTEIN
IPC分类号： G06N99/00 , G06N5/02
CPC分类号： G06N20/00 , G06F16/907 , G06N5/022
摘要： Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

9. 发明申请

US20190251718A1 APPARATUS AND METHODS FOR GENERATING DATA STRUCTURES TO REPRESENT AND COMPRESS DATA PROFILES 审中-公开
公开(公告)号：US20190251718A1
公开(公告)日：2019-08-15
申请号：US16281843
申请日：2019-02-21
申请人： Indiggo Associates LLC
发明人： Vijay PERINCHERRY , Janine GELBART , Marc INZELSTEIN
IPC分类号： G06T11/20 , G06F16/2457 , G06F16/174 , G06F3/0481 , G06F16/907 , G06F3/0484 , G06F16/435
CPC分类号： G06T11/206 , G06F3/0481 , G06F3/0484 , G06F16/1744 , G06F16/24578 , G06F16/437 , G06F16/907
摘要： Embodiments described herein relate generally to apparatuses and methods for structuring and processing data. In some embodiments, a method includes receiving stimulus-response data, via a processor, the stimulus-response data including a digital representation of a stimulus and a digital representation of a response. The processor calculates a weight associated with the stimulus-response data, based on a rule, and identifies: (1) a distribution type, based on the digital representation of the stimulus; and (2) a range of inclination values of the distribution type, based on the digital representation of the response. The processor compiles a compressed multidimensional data profile associated with an object of the stimulus-response data and based on the weight, the digital representation of the distribution type, and the digital representation of the range of inclination values.

10. 发明申请

US20190392346A1 ADAPTIVE CORRELATION OF USER-SPECIFIC COMPRESSED MULTIDIMENSIONAL DATA PROFILES TO ENGAGEMENT RULES 审中-公开
公开(公告)号：US20190392346A1
公开(公告)日：2019-12-26
申请号：US16458801
申请日：2019-07-01
申请人： Indiggo Associates LLC
发明人： Vijay PERINCHERRY , Janine GELBART , Marc INZELSTEIN
IPC分类号： G06N20/00 , G06F16/907 , G06N5/02
摘要： Some embodiments relate generally to the processing of compressed multidimensional data and selection of engagement rules based on the compressed multidimensional data. In some embodiments, a method includes retrieving, via a processor, a multidimensional data profile that includes a set of first inclination distributions, each associated with a data dimension. The processor matches a first set of engagement rules to the multidimensional data profile to define a matched set, each engagement rule of the first set of engagement rules having a corresponding confidence level and a corresponding set of second inclination distributions. The processor selects an engagement rule from the matched set that has a corresponding confidence level no less than a corresponding confidence level for each remaining engagement rule from the matched set, and sends a signal causing display of a stimulus to a user according to the selected engagement rule and not according to the remaining engagement rules.

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