CN110968662A - Judicial data processing method and device, storage medium and processor - Google Patents
Judicial data processing method and device, storage medium and processor Download PDFInfo
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Abstract
The application provides a judicial data processing method, a judicial data processing device, a storage medium and a processor, wherein the judicial data processing method comprises the following steps: determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases; wherein, the current principal is the principal in the case to be processed; respectively carrying out similarity calculation on the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of a plurality of historical cases; and generating the user portrait of the current party by using the case data of the most similar case.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a judicial data processing method, a judicial data processing device, a storage medium and a processor.
Background
Under the current internet era, government affair handling windows of all government departments successively open online service platforms. In the judicial department of China, an online case-setting trial and judgment system is opened along with the heat tide of the Internet. The principal can fill in the filing application in the filing judging system, and the judge can process the case in the filing judging system.
Although the opening of the filing judging system is convenient for the filing application of the party and the government affairs processing work of the judge, the filing judging system still has some problems which need to be improved urgently. In the case processing process of a judge, in order to improve the case processing progress, the case filing judging system provides case data of historical cases and is used as a reference for processing operations such as case filing, trial and error, case judgment and the like.
However, the current case trial system is randomly provided with case data of historical cases, which results in unstable correlation between the provided historical cases and cases to be processed, and when the correlation between the provided historical cases and cases to be processed is not high, the reference of the case data of the historical cases to the case processing of the cases to be processed is low.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus, a storage medium, and a processor for judicial data processing, so as to provide case data with high referential property for a case to be processed, and improve the processing progress of the case.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
a method of judicial data processing comprising:
determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases; wherein, the current principal is the principal in the case to be processed;
respectively carrying out similarity calculation on the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of a plurality of historical cases;
and generating the user portrait of the current party by using the case data of the most similar case.
Optionally, in the above method, the determining the personal information of the current party and the case data of the case to which the current party belongs includes:
basic data, social attribute information and case information of a case of the current party are collected. Wherein, the basic data is the demographic characteristic data of the current party, and the social attribute information is the working information of the current party;
and taking the basic data and the social attribute information of the current party as the personal information of the current party.
Optionally, in the above method, the performing similarity calculation with the case data of each historical case by using the personal information of the current party and the case data of the case to which the current party belongs respectively includes:
grouping the personal information of the current party and case data of the case to which the current party belongs to obtain a static attribute vector and a dynamic attribute vector of the current party; the static attribute vector comprises the personal information of the current principal, and the dynamic attribute vector comprises case data of a case to which the current principal belongs;
grouping case data of a plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of a historical party to which each historical case belongs;
respectively carrying out similarity calculation on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party to obtain similarity data of the current party and each historical party;
and obtaining case data of the most similar case according to the similarity data of the current party and each historical party.
Optionally, in the above method, generating a user representation of the current party by using the case data of the most similar case includes:
and extracting common data of the case data of the most similar case, and generating a user portrait of the current party according to the common data.
A judicial data processing apparatus comprising:
the determining unit is used for determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases; wherein the current principal is a principal in a case to be processed;
the calculation unit is used for respectively carrying out similarity calculation on the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of the plurality of historical cases;
and the generating unit is used for generating the user portrait of the current party by using the case data of the most similar case.
Optionally, when the determining unit performs determining the personal information of the current principal and the case data of the case to which the current principal belongs, the determining unit includes:
the first acquisition unit is used for acquiring basic data, social attribute information and case information of a case of the current party; wherein the base data is demographic data of the current party; the social attribute information is the work information of the current party;
and the first grouping unit is used for taking the basic data and the social attribute information of the current party as the personal information of the current party.
Optionally, the computing unit includes:
the second grouping unit is used for grouping the personal information of the current party and the case data of the case to which the current party belongs to obtain a static attribute vector and a dynamic attribute vector of the current party; wherein the static attribute vector comprises personal information of the current principal, and the dynamic attribute vector comprises case data of a case to which the current principal belongs;
the third grouping unit is used for grouping the case data of the plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of the historical party to which each historical case belongs;
the first calculation unit is used for performing similarity calculation on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party respectively to obtain similarity data of the current party and each historical party;
and the second calculation unit is used for obtaining the case data of the most similar case according to the similarity data of the current principal and each historical principal.
Optionally, the generating unit includes:
the extracting unit is used for extracting the common data of the case data of the most similar case;
and the user portrait generating unit is used for generating the user portrait of the current party according to the common data.
A storage medium storing a program for implementing a judicial data processing method as claimed in any preceding claim when executed.
A processor for executing a program, wherein the program is executed for performing: a method of judicial data processing as claimed in any preceding claim.
By means of the technical scheme, in the judicial data processing method, the similarity of the personal information of the current party, the case data of the case to which the current party belongs and the case data of each historical case is calculated by using a similarity calculation method, and the most similar historical case is obtained in a plurality of historical cases according to the similarity calculation result; and generating the user portrait of the current party according to the case data of the most similar historical cases, so that the user portrait of the current party can be ensured to provide case data with high case correlation as reference in the case processing process of the current party, and the case processing progress is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a flow chart of a judicial data processing method disclosed by an embodiment of the present application;
FIG. 2 shows a flow chart of a method of collecting data in the judicial data processing method disclosed in the embodiments of the present application;
fig. 3 shows a flowchart of a data processing flow in the judicial data processing method disclosed in the embodiment of the present application;
FIG. 4 illustrates a flow chart for generating a user representation in a judicial data processing method disclosed by an embodiment of the present application;
fig. 5 shows a schematic structural diagram of a judicial data processing device disclosed in the embodiment of the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the present application document discloses a judicial data processing method, referring to fig. 1, including:
s101, determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases.
Wherein the current principal is the principal in the case to be processed.
It should be noted that the case data itself of the case includes: case information and case handling. The case information is the basic content of the case and comprises the description information of both parties and the basic description information of the case; the case processing condition is the description information of case trial, and mainly covers the text data of the case in the examination stage and the content in the decision book.
S102, calculating the similarity of the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of a plurality of historical cases.
After the case data of the case most similar to the personal information of the current party and the case data of the case to which the personal information belongs in the case data of the plurality of historical cases is obtained, the similarity of the case data of the similar cases can be ranked in the order from high to low, and the case data of a plurality of similar cases with the top ranking is selected as the case data of the most similar case. And, the number of choices can be set according to actual needs.
Of course, a threshold value may also be set, and the case data of the similar case corresponding to the case data of the most similar case larger than the threshold value may be used as the case data of the most similar case. The threshold value can also be set according to actual requirements.
S103, generating the user portrait of the current party by using the case data of the most similar case.
The data of the user portrait is derived from the case data of the most similar case, so that the user portrait is used for describing the history case which is most similar to the current party case.
It should be noted that the user representation may further include case data of a case to which the current principal belongs, that is, case information of the case to which the current principal belongs and a case processing situation. Therefore, the judge can obtain the case data of the case to which the current principal belongs from the user portrait of the current principal, basically know the case to which the current principal belongs, and obtain the case data of the history case most similar to the case to which the current principal belongs so as to refer to the processing process of the case to which the current principal belongs.
In the embodiment, the personal information of the current party and the case data of the case to which the current party belongs are calculated by using a similarity calculation method, the similarity between the case data of each historical case and the case data of each historical case is calculated, and the case data of the most similar historical case is obtained in the case data of a plurality of historical cases according to the similarity calculation result; and generating the user portrait of the current party according to the number of the most similar cases of the historical cases, so that the user portrait of the current party can be ensured to provide case data with high case correlation as reference in the case processing process of the current party, and the case processing progress is improved.
Optionally, in another embodiment of the present application, an implementation manner of step S101, as shown in fig. 2, includes:
201. basic data, social attribute information and case information of a case of the current party are collected.
Wherein the underlying data is demographic data of the current party. Demographic data as referred to herein are data on the current party's gender, age, region, health, marital status, cultural level, etc.
When the basic data of the current principal is collected, the basic data of the current principal can be checked in a case trial system according to the certificate type and the certificate number of the current principal and can be collected.
The social attribute information is work information of the current party. The work information referred to herein is data such as a work unit of the current party, a unified social credit code of the work unit, a registered address of the work unit, a unit legal person, and job information of the party.
When the social attribute information of the current principal is collected, the social attribute information can be collected by the certificate type and the certificate number of the current principal through the connection with a public security system or an industrial and commercial administration system.
The case information of the case to which the principal belongs is as described in the above embodiment. The case information of the case to which the current principal belongs is acquired by inquiring and acquiring in a case trial system according to the certificate type and the certificate number of the current principal.
202. And taking the basic data and the social attribute information of the current party as the personal information of the current party.
The basic data and the social attribute information of the current principal are used as the personal information of the principal, so that the data types are better classified when the similarity calculation is carried out, the similarity calculation can be accurately and quickly carried out, and the most similar data can be obtained.
In the above embodiment, the method further includes determining case data of a plurality of historical cases, where the process of determining case data of a plurality of historical cases is specifically as follows:
case data of a plurality of historical cases is collected.
The case data of a plurality of historical cases are collected and can be collected in a case database of a case trial system. Case data, as described in the above embodiments, includes case information and case handling.
Optionally, in another embodiment of the present application, an implementation manner of step S102, as shown in fig. 3, includes:
s301, grouping the personal information of the current party and the case data of the case to which the current party belongs to obtain the static attribute vector and the dynamic attribute vector of the current party.
Wherein the static attribute vector comprises the personal information of the current principal, and the dynamic attribute vector comprises the case data of the case to which the current principal belongs. Therefore, the static attribute vector of the current party refers to the personal information of the current party, and similarly, the dynamic attribute vector of the current party refers to the case data of the case to which the current party belongs.
In conjunction with the above description, the following describes the static attribute vector and the dynamic attribute vector of the current party by a specific case respectively:
in this case, the acquired basic data of the current party is as follows: name: zhang three, age: 30, of a nitrogen-containing gas; sex: male; culture level: the subject; marital status: and (5) leaving unmarried. The social attribute information of the current party is collected as follows: name: zhang III; the working unit is as follows: guide trade company, ltd; and (4) job title: a general manager; work unit human representative: plum four; the working unit unifies social credit codes: 10000001211. the case information of the case is as follows: the case types are: a civil case; the scheme is as follows: dispute of infringement works and performance rights; original notice: wangwu, the quilt: and (5) opening the leaf.
In the case, the age, sex, culture level, marital status, job title, work unit, etc. of Zhang III may be used as the static attribute vector of the current party, and the case type, case name, etc. in the case information of the case may be used as the dynamic attribute vector of the current party.
S302, grouping the case data of a plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of the historical party to which each historical case belongs.
The static attribute vector of the historical party refers to the personal information of the historical party, and the dynamic attribute vector of the historical party is the case data of the case.
It should be noted that the case information included in the case data of each history case includes description information of both parties. The description information of the two parties is the static attribute vector of the historical parties. The case processing cases of the case data of each historical case are grouped to form a dynamic attribute vector of the historical principal.
S303, carrying out similarity calculation on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party respectively to obtain similarity data of the current party and each historical party.
Optionally, the similarity calculation is performed on the static attribute vector and the dynamic attribute vector of the current principal, and the static attribute vector and the dynamic attribute vector of each historical principal by using a cosine similarity method.
The cosine similarity formula is as follows:
in the formula:
a vector composed of a static attribute vector and a dynamic attribute vector representing the current party;
a vector of static and dynamic attribute vectors representing each historical principal.
Alternatively, the static attribute vector and the dynamic attribute vector of the current principal and the historical principal may be as follows:
s304, obtaining case data of the most similar case according to the similarity data of the current party and each historical party.
Optionally, in another embodiment of the present application, as shown in fig. 4, another implementation manner of step S103 includes:
s401, extracting common data of case data of the most similar cases.
S402, generating the user portrait of the current party according to the common data.
By the method, when a case processing work is carried out by a judge in a case filing system, the judge can assist the judge in the case processing work according to the generated user portrait which is obtained by common data of case data of the most similar historical cases and has a plurality of common characteristics with the case data of the current concerned case.
Another embodiment of the present invention further discloses a data processing apparatus, as shown in fig. 5, including:
a determining unit 501, configured to determine personal information of a current party, case data of a case to which the current party belongs, and case data of a plurality of historical cases.
Wherein the current principal is the principal in the case to be processed.
The calculating unit 502 is configured to perform similarity calculation with the case data of each historical case respectively according to the personal information of the current principal and the case data of the case to which the current principal belongs, so as to obtain the case data of the case which is most similar to the personal information of the current principal and the case data of the case to which the current principal belongs, among the case data of a plurality of historical cases.
A generating unit 503, configured to generate a user portrait of the current party by using case data of the most similar case.
In the judicial data processing device disclosed in this embodiment, the calculating unit 502 calculates the similarity between the personal information of the current party in the determining unit 501 and the case data of the case to which the current party belongs and the case data of each calendar case by using a similarity calculation method, and obtains the case data of the most similar history case from among the case data of a plurality of history cases according to the calculation result of the calculating unit 502; the generating unit 503 generates the user portrait of the current party according to the case data of the most similar historical case, and can ensure that the user portrait of the current party provides case data with high correlation with the case as a reference in the case processing process of the current party, thereby improving the case processing progress.
For the specific working process of each unit disclosed in this embodiment, reference may be made to the content of the method embodiment corresponding to fig. 1, which is not described herein again.
Optionally, in another embodiment of the present application, when the determining unit 501 performs determining personal information of a current principal and case data of a case to which the current principal belongs, the determining unit includes:
the first acquisition unit is used for acquiring basic data and social attribute data of a current party; wherein the underlying data is demographic data; the social attribute information is work information of the current party.
And the first grouping unit is used for taking the basic data and the social attribute information of the current party as the personal information of the current party.
Optionally, in another embodiment of the present application, when the determining unit 501 executes the case data of a plurality of historical cases, the determining unit includes:
and the second acquisition unit is used for acquiring a plurality of historical case data.
For the specific working process of each unit disclosed in this embodiment, reference may be made to the content of the corresponding method embodiment, and details are not described here.
Optionally, in another embodiment of the present application, the calculating unit 502 includes:
and the second grouping unit is used for grouping the personal information of the current party and the case data of the case to which the current party belongs to obtain the static attribute vector and the dynamic attribute vector of the current party.
Wherein the static attribute vector comprises the personal information of the current principal, and the dynamic attribute vector comprises the case data of the case to which the current principal belongs.
And the third grouping unit is used for grouping the case data of a plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of the historical party to which each historical case belongs.
And the first calculating unit is used for performing similarity calculation on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party respectively to obtain similarity data of the current party and each historical party.
And the second calculating unit is used for obtaining the case data of the most similar case according to the similarity data of the current principal and each historical principal.
Optionally, in another embodiment of the present application, the user representation generating unit 503 includes:
and the extraction unit is used for extracting the common data of the case data of the most similar case.
And the user portrait generating unit is used for generating the user portrait of the current party according to the common data.
For the specific working process of each unit disclosed in this embodiment, reference may be made to the content of the method embodiment corresponding to fig. 3, which is not described herein again.
The data transmission device comprises a processor and a memory, wherein the determining unit, the calculating unit, the generating unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the transmission of the graphic data from the internal environment of the mobile terminal to the browser environment is realized by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium on which a program is stored, the program implementing a processing method of the judicial data when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the processing method of judicial data is executed when the program runs.
The embodiment of the invention provides equipment, and the equipment can be a server, a PC, a PAD, a mobile phone and the like. The device comprises a processor, a memory and a program stored on the memory and capable of running on the processor, and the processor realizes the following steps when executing the program:
determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases; wherein the current principal is the principal in the case to be processed.
And respectively carrying out similarity calculation on the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of a plurality of historical cases.
And generating a user portrait of the current party by using the case data of the most similar case.
Optionally, the determining the personal information of the current principal and the case data of the case to which the current principal belongs includes:
acquiring basic data, social attribute information and case information of a case of a current party; wherein the basic data is demographic characteristic data of the current party; the social attribute information is the work information of the current party;
and taking the basic data and the social attribute information of the current party as the personal information of the current party.
Optionally, the calculating the similarity between the personal information of the current principal and the case data of the case to which the current principal belongs and the case data of each historical case respectively includes:
and grouping the personal information of the current party and the case data of the case to which the current party belongs to obtain the static attribute vector and the dynamic attribute vector of the current party.
Wherein the static attribute vector comprises the personal information of the current principal, and the dynamic attribute vector comprises the case data of the case to which the current principal belongs.
And grouping the case data of a plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of the historical party to which each historical case belongs.
And respectively carrying out similarity calculation on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party to obtain similarity data of the current party and each historical party.
And obtaining case data of the most similar case according to the similarity data of the current party and each historical party.
Optionally, the generating a user representation of the current party by using case data of the most similar case includes:
extracting common data of case data of the most similar cases;
and generating a user portrait of the current party according to the common data.
The invention also provides a computer program product adapted to perform a program for initializing the following method steps when executed on a judicial data processing apparatus:
determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases; wherein the current principal is the principal in the case to be processed.
And respectively carrying out similarity calculation on the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of a plurality of historical cases.
And generating a user portrait of the current party by using the case data of the most similar case.
Optionally, the determining the personal information of the current principal and the case data of the case to which the current principal belongs includes:
acquiring basic data, social attribute information and case information of a case of a current party; wherein the basic data is demographic characteristic data of the current party; the social attribute information is the work information of the current party;
and taking the basic data and the social attribute information of the current party as the personal information of the current party.
Optionally, the calculating the similarity between the personal information of the current principal and the case data of the case to which the current principal belongs and the case data of each historical case respectively includes:
and grouping the personal information of the current party and the case data of the case to which the current party belongs to obtain the static attribute vector and the dynamic attribute vector of the current party.
Wherein the static attribute vector comprises the personal information of the current principal, and the dynamic attribute vector comprises the case data of the case to which the current principal belongs.
And grouping the case data of a plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of the historical party to which each historical case belongs.
And respectively carrying out similarity calculation on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party to obtain similarity data of the current party and each historical party.
And obtaining case data of the most similar case according to the similarity data of the current party and each historical party.
Optionally, the generating a user representation of the current party by using case data of the most similar case includes:
extracting common data of case data of the most similar cases;
and generating a user portrait of the current party according to the common data.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory computer readable media (transmyedia) such as modulated data signals and carrier waves.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or even more
Including as an element of a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A judicial data processing method is characterized by comprising the following steps:
determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases; wherein the current principal is a principal in a case to be processed;
respectively carrying out similarity calculation on the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of the plurality of historical cases;
and generating the user portrait of the current party by using the case data of the most similar case.
2. The judicial data processing method of claim 1, wherein the determination of the personal information of the current party and the case data of the case to which the current party belongs comprises:
acquiring basic data, social attribute information and case information of a case of the current party; wherein the base data is demographic data of the current party; the social attribute information is the work information of the current party;
and taking the basic data and the social attribute information of the current party as the personal information of the current party.
3. The judicial data processing method of claim 1, wherein the similarity calculation between the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case respectively comprises:
grouping the personal information of the current party and case data of the case to which the current party belongs to obtain a static attribute vector and a dynamic attribute vector of the current party; wherein the static attribute vector comprises personal information of the current principal, and the dynamic attribute vector comprises case data of a case to which the current principal belongs;
grouping the case data of the plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of the historical party to which each historical case belongs;
similarity calculation is carried out on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party respectively to obtain similarity data of the current party and each historical party;
and obtaining case data of the most similar case according to the similarity data of the current party and each historical party.
4. The judicial data processing method of claim 1, wherein said generating a user representation of said current party using case data of said most similar case comprises:
extracting common data of case data of the most similar cases;
and generating a user portrait of the current party according to the common data.
5. A judicial data processing apparatus, comprising:
the determining unit is used for determining the personal information of the current party, the case data of the case to which the current party belongs and the case data of a plurality of historical cases; wherein the current principal is a principal in a case to be processed;
the calculation unit is used for respectively carrying out similarity calculation on the personal information of the current party and the case data of the case to which the current party belongs and the case data of each historical case to obtain the case data of the case which is most similar to the personal information of the current party and the case data of the case to which the current party belongs in the case data of the multiple historical cases;
and the generating unit is used for generating the user portrait of the current party by using the case data of the most similar case.
6. The apparatus as claimed in claim 5, wherein the determining unit, when performing the determination of the personal information of the current principal, the case data of the case to which the current principal belongs, comprises:
the first acquisition unit is used for acquiring basic data, social attribute information and case information of a case of the current party; wherein the base data is demographic data of the current party; the social attribute information is the work information of the current party;
and the first grouping unit is used for taking the basic data and the social attribute information of the current party as the personal information of the current party.
7. The apparatus of claim 5, wherein the computing unit comprises:
the second grouping unit is used for grouping the personal information of the current party and the case data of the case to which the current party belongs to obtain a static attribute vector and a dynamic attribute vector of the current party; wherein the static attribute vector comprises personal information of the current principal, and the dynamic attribute vector comprises case data of a case to which the current principal belongs;
the third grouping unit is used for grouping the case data of the plurality of historical cases to obtain a static attribute vector and a dynamic attribute vector of the historical party to which each historical case belongs;
the first calculation unit is used for performing similarity calculation on the static attribute vector and the dynamic attribute vector of the current party and the static attribute vector and the dynamic attribute vector of each historical party respectively to obtain similarity data of the current party and each historical party;
and the second calculation unit is used for obtaining the case data of the most similar case according to the similarity data of the current principal and each historical principal.
8. The apparatus of claim 5, wherein the generating unit comprises:
the extracting unit is used for extracting the common data of the case data of the most similar case;
and the user portrait generating unit is used for generating the user portrait of the current party according to the common data.
9. A storage medium for storing a program which, when executed, implements the judicial data processing method of any one of claims 1 to 4.
10. A processor configured to execute a program, wherein the program is configured to perform: the judicial data processing method of any one of claims 1 to 4.
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Application publication date: 20200407 |