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公开(公告)号：US11537910B2
公开(公告)日：2022-12-27
申请号：US16759115
申请日：2019-03-28
申请人： NEC CORPORATION , Wenjuan Wei
发明人： Wenjuan Wei , Chunchen Liu , Lu Feng
摘要： Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables. Specifically, a method is provided for determining a causality between a plurality of vectors, which comprises: in response to a data set of a plurality of samples associated with the plurality of variables being collected, obtaining a matrix describing the causality between the plurality of variables, each sample among the plurality of samples comprising data that corresponds to the plurality of variables; determining fitness associated with the causality and sparsity associated with the causality based on the data set and the matrix, wherein the sparsity comprises a constraint on each vector among a plurality of vectors in the matrix, the constraint corresponding to a variable among the plurality of variables; building a first problem formula describing the causality according to the determined fitness and sparsity; and solving the built first problem formula so as to obtain a candidate result of the matrix. Further, there is provided a corresponding system and computer program product.
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公开(公告)号：US20220004910A1
公开(公告)日：2022-01-06
申请号：US17363525
申请日：2021-06-30
申请人： NEC CORPORATION
发明人： Wenjuan Wei , Lu Feng
IPC分类号： G06N7/00
摘要： Implementations of the present disclosure relate to information processing method, electronic device, and computer storage medium. The method comprises: obtaining a group of variables; obtaining a causal model; using the causal model to determine causality among variables in the group of variables based on types of the variables in the group of variables. Using the technical solution of the present disclosure, a mixture of complex, non-linear continuous data or discrete data may be processed using a new model, and thus causality among observed data may be determined.
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公开(公告)号：US11531836B2
公开(公告)日：2022-12-20
申请号：US16856675
申请日：2020-04-23
申请人： NEC CORPORATION
发明人： Lu Feng , Lvye Cui , Wenjuan Wei , Chunchen Liu
摘要： Embodiments of the present disclosure relate to a method, a device and a computer-readable storage medium for data processing. The method for data processing comprises: obtaining a set of observation samples regarding a plurality of factors, one of the set of observation samples comprising respective observed values of the plurality of factors. The method further comprises: estimating, for each of the plurality of factors and based on the set of observation samples, a distribution that differences between observed values of the factor and estimated values of the factor follow. The method further comprises determining, based at least on the estimated distribution, a causal structure representing a causal relationship among the plurality of factors. Embodiments of the present disclosure further provide a device and a computer-readable storage medium for implementing the above method. The embodiments of the present disclosure can accurately and robustly discover the causal relationship among a plurality of factors without making any assumptions about the relationship between the data distribution and the factors, and affect the observed value of the target factor based on the causal relationship.
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公开(公告)号：US20220309402A1
公开(公告)日：2022-09-29
申请号：US17702277
申请日：2022-03-23
申请人： NEC CORPORATION
发明人： Wenjuan WEI , Lu Feng
摘要： Embodiments of the present disclosure relate to method, device and computer-readable storage medium for data processing. A method for data processing comprises obtaining user data of a target user under a target environment. The user data comprises observational data of a plurality of features of the target user. The method further comprises extracting at least part of user data from the user data. The at least part of user data comprises observational data of at least one feature of the plurality of features which affects a target feature and has causal invariance. The method further comprises generating, based on the at least part of user data and a prediction model trained for the at least one feature, a prediction result for the target feature of the target user. The embodiments of the present disclosure further provide a device and a computer-readable storage medium that can perform the above method. The embodiments of the present disclosure can accurately and robustly make predictions based on features with causal invariance.
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公开(公告)号：US11232175B2
公开(公告)日：2022-01-25
申请号：US16763585
申请日：2019-03-28
申请人： NEC CORPORATION
发明人： Lu Feng , Chunchen Liu , Wenjuan Wei
摘要： Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables. A method is provided for determining a causality between a plurality of vectors, which comprises: in response to a data set of a plurality of samples associated with the plurality of variables being collected, obtaining a matrix describing the causality between the plurality of variables, each sample among the plurality of samples comprising data that corresponds to the plurality of variables; determining a fitness degree and an expert knowledge constraint which are associated with the causality based on the data set and the matrix, wherein the expert knowledge constraint comprises at least one of an edge constraint on a direct causality between two variables in the matrix and a path constraint on an indirect causality between two variables in the matrix; building a problem formula describing the causality according to the determined fitness degree and expert knowledge constraint; and solving the built problem formula so as to obtain a candidate result of the matrix. Further, there is provided a corresponding system and computer program product.
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公开(公告)号：US20210304228A1
公开(公告)日：2021-09-30
申请号：US17218562
申请日：2021-03-31
申请人： NEC CORPORATION
发明人： Lvye Cui , Lu Feng , Chunchen Liu
IPC分类号： G06Q30/02
摘要： Embodiments of the present disclosure provide a method of information processing, electronic device, and computer program product. The method comprises: obtaining a popularity level of a product and values of a plurality of attributes associated with the product; determining a plurality of influence factors of the plurality of attributes on the popularity level of the product by applying the popularity level and the values of the plurality of attributes to a data processing model; and determining, based on the plurality of influence factors, to adjust at least one attribute of the plurality of attributes to increase the popularity level of the product. Under the guidance of the embodiments of the present disclosure, a supplier of a product can effectively increase a popularity level of a product.
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公开(公告)号：US20240070160A1
公开(公告)日：2024-02-29
申请号：US18458291
申请日：2023-08-30
申请人： NEC CORPORATION
IPC分类号： G06F16/2457 , G06F16/2458
CPC分类号： G06F16/24578 , G06F16/2462
摘要： Embodiments of the present disclosure provide a data processing method and an electronic device, which relate to the computer field. The method includes: acquiring a time-series dataset, the time-series dataset comprising multiple time-series data items each comprising a time and multiple attribute parameters corresponding thereto; acquiring a target attribute parameter being at least one of the multiple attribute parameters; determining, based on a time-series model, at least one influence factor of the target attribute parameter, the at least one influence factor indicating at least one attribute parameter influencing the target attribute parameter and at least one time corresponding to the at least one attribute parameter; and outputting the at least one influence factor. As such, according to the embodiments of the present disclosure, for a target attribute parameter, at least one influence factor can be determined based on a time-series dataset and a time-series model. Therefore, an accurate reference can be provided for a decision on the target attribute parameter, and the decision made in this way is more accurate.
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公开(公告)号：US20240046042A1
公开(公告)日：2024-02-08
申请号：US18365535
申请日：2023-08-04
申请人： NEC CORPORATION
IPC分类号： G06F40/30 , G06F40/279
CPC分类号： G06F40/30 , G06F40/279
摘要： According to the embodiments of the present disclosure, method and device for information processing are provided. This method comprises determining a group of target factors for a target object based on an unstructured text set about the target object. Each target factor represents an aspect of the target object. This method also comprises determining a causal-outcome event pair comprising a causal event and outcome event by analyzing the text in the text set. This method further comprises determining, based on the causal-outcome event pair, a first causality between a first factor in the group of target factors and a second factor of the target object. This scheme helps to improve the mining of causalities among the target object, thereby facilitating the improvement of the target object.
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公开(公告)号：US20220414540A1
公开(公告)日：2022-12-29
申请号：US17832086
申请日：2022-06-03
申请人： NEC Corporation
IPC分类号： G06N20/00
摘要： Embodiments of the present disclosure relate to method, device and computer-readable storage medium for data processing. A method for data processing comprises: obtaining, based on similarities between characteristics of a first target dataset and characteristics of a predetermined dataset, a respective first performance of a plurality of candidate causal model configurations corresponding to characteristics of the predetermined dataset; selecting, based on the respective first performance, a target causal model configuration from the plurality of candidate causal model configurations; and processing the first target dataset using a causal model which is built based on the target causal model configuration. Embodiments of the present disclosure also provide device and computer-readable storage medium capable of implementing the above method. Besides, the embodiments of the present disclosure can adaptively build a good casual model.
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公开(公告)号：US20220253781A1
公开(公告)日：2022-08-11
申请号：US17667270
申请日：2022-02-08
申请人： NEC Corporation
摘要： Embodiments of the present disclosure relate to a method, apparatus and computer readable storage medium for data processing. The method may include obtaining a causal result determined based on reference data of a plurality of reference factors. The plurality of reference factors may include a reference satisfaction degree and other reference factors, and the causal result may include a causal relationship between the reference satisfaction degree and the other reference factors and a causal relationship between the other reference factors. The method may further include obtaining sample data of a plurality of user factors associated with a user, the plurality of user factors at least partially overlapping the other reference factors. The method may further include determining a first satisfaction degree of the user based on the sampled data and the causal result. The technical solution of the present disclosure can predict the user's satisfaction degree timely and accurately and automatically make an optimization policy and improve the user's experience.
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