CN112163152A - Accurate recommendation system for legal provision - Google Patents
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Abstract
The invention discloses an accurate recommendation system for legal provision, which comprises: the system comprises a legal provision acquisition module, a data sorting module and a data processing module, wherein the legal provision acquisition module is used for crawling corresponding legal provision data on a target network base station based on a network crawler module and feeding back the crawled legal provision data to the data sorting module in real time; the data arrangement module is used for realizing arrangement of legal provision data; the characteristic extraction module is used for extracting legal provision data and the characteristic data of the input consultation request; the incidence relation construction module is used for realizing the construction of incidence relation among the legal provision data according to the characteristic data of the legal provision data; the recommendation model construction module is used for constructing a recommendation model according to the characteristic data and the legal provision data corresponding to the characteristic data; and the legal provision recommending module is used for recommending the legal provision based on the recommending model, the incidence relation and the input consultation request. The method and the system can realize quick search and recommendation of the legal provision data and improve the accuracy of the recommended legal provision.
Description
Technical Field
The invention relates to the field of legal data, in particular to a legal provision accurate recommendation system.
Background
When lawyers provide legal consulting services for users, the lawyers often need to analyze the consulting contents of the users and provide legal opinions and legal provision. About 40 thousands of legal provisions are officially issued in China at present, and are updated every year, so that the energy of lawyers is wasted when the legal provisions are remembered or retrieved. Legal database services provided by existing solutions such as Westlaw, north lawboy and the like are generally based on traditional keyword search, the obtained legal provision is long and has no pertinence, lawyers need to carefully analyze user questions before legal search is carried out by utilizing the databases, and the professional level of the lawyers is very checked.
Disclosure of Invention
In order to solve the problems, the invention provides a legal provision accurate recommendation system which can realize intelligent accurate recommendation of a legal provision database.
In order to achieve the purpose, the invention adopts the technical scheme that:
a legal provision precision recommendation system comprising:
the system comprises a legal provision acquisition module, a data sorting module and a data processing module, wherein the legal provision acquisition module is used for crawling corresponding legal provision data on a target network base station based on a network crawler module and feeding back the crawled legal provision data to the data sorting module in real time;
the data arrangement module is used for realizing arrangement of legal provision data;
the characteristic extraction module is used for extracting legal provision data and the characteristic data of the input consultation request;
the incidence relation construction module is used for realizing the construction of incidence relation among the legal provision data according to the characteristic data of the legal provision data;
the recommendation model construction module is used for constructing a recommendation model according to the characteristic data and the legal provision data corresponding to the characteristic data;
and the legal provision recommending module is used for recommending the legal provision based on the recommending model, the incidence relation and the input consultation request.
Furthermore, the legal provision collecting module realizes active crawling of the legal provision data according to preset data crawling rules based on the web crawler module.
Further, the data crawling rule comprises a legal provision crawling feature rule and a legal provision crawling time rule, wherein the legal provision crawling time rule judges whether a newly updated legal provision exists on the target network base station on the basis of the updating time of the collected legal provision every time, if so, the network crawler module is started to crawl corresponding legal provision data, and when the legal provision is crawled for the first time, the time in the legal provision crawling time rule needs to be manually selected.
Further, the data sorting module is used for finding a proper position of each legal provision in the database and realizing automatic replacement operation of new and old legal provision data, and specifically, firstly, feature data of newly received legal provisions are extracted, and then, corresponding old legal provisions are mined in the database based on the data mining module according to special data, so that automatic replacement operation of the new and old legal provisions data is realized.
Further, the feature extraction module extracts features based on a MapReduce operation depth convolution neural network model.
Further, the recommendation model adopts an inclusion _ V3 model/fuzzy neural network algorithm.
Further, the consultation request is input in a mode of filling a blank in a template.
Further, still include:
and the legal provision typesetting module is used for realizing typesetting of recommended legal provisions and configuring a similar case for each recommended legal provision.
The invention has the following beneficial effects:
1) the automatic updating of the legal provision database and the recommendation model can be realized, so that the accuracy of the recommended legal provision can be improved;
2) the target legal provision data is crawled based on the legal provision crawling feature rule and the legal provision crawling time rule, so that excessive data in a constructed legal provision database can be reduced, and a guarantee is provided for accurate recommendation of the legal provisions.
3) The extraction of feature data is realized on the basis of a MapReduce operation deep convolutional neural network model, and then the recommendation of legal provisions is realized according to the incidence relation of each legal provision and the input consultation request on the basis of an inclusion _ V3 model/fuzzy neural network algorithm, so that the recommendation of the legal provisions can be quickly searched for by legal provision data, and the accuracy of the recommended legal provisions is further improved.
Drawings
Fig. 1 is a system block diagram of a system for accurately recommending legal provision according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides a system for accurately recommending legal provisions, including:
the consultation request input module is used for realizing the input of the consultation request in a blank filling mode;
the system comprises a legal provision acquisition module, a data sorting module and a data processing module, wherein the legal provision acquisition module is used for crawling corresponding legal provision data on a target network base station based on a network crawler module and feeding back the crawled legal provision data to the data sorting module in real time;
the data arrangement module is used for realizing arrangement of legal provision data;
the characteristic extraction module is used for extracting legal provision data and the characteristic data of the input consultation request;
the incidence relation construction module is used for realizing the construction of incidence relation among the legal provision data according to the characteristic data of the legal provision data;
the recommendation model construction module is used for constructing a recommendation model according to the characteristic data and the legal provision data corresponding to the characteristic data;
the legal provision recommending module is used for recommending the legal provision based on the recommending model, the incidence relation and the input consultation request;
the legal provision typesetting module is used for realizing typesetting of recommended legal provisions and configuring a similar case for each recommended legal provision, so that the user can understand conveniently; specifically, firstly, filling legal provision data recommended by a legal provision recommendation module in a preset template, and then crawling a corresponding case on a legal network base station based on a web crawler module according to characteristic data of the legal provision data to fill the case in the preset template;
and the central processing module is used for coordinating the work of the modules.
In this embodiment, the legal provision collection module realizes active crawling of the legal provision data according to preset data crawling rules based on the web crawler module. The data crawling rule comprises a legal provision crawling feature rule and a legal provision crawling time rule, wherein the legal provision crawling time rule judges whether a newly updated legal provision exists on the target network base station by taking the updating time of the collected legal provision every time as a reference, if so, the network crawler module is started to crawl corresponding legal provision data, and when the legal provision is crawled for the first time, the time in the legal provision crawling time rule needs to be manually selected.
In this embodiment, the data sorting module is configured to:
finding a proper position for each legal provision in the database, specifically, finding a proper position for corresponding legal provision data in the database according to the extracted characteristic data of the legal provision, finding a similar data point for the legal provision data, and establishing a relationship between the similar data point and the similar data point; realizing data positioning based on a facet technology, and accurately positioning data by calculating facet distances among different data terms; when the data is positioned, corresponding terms are selected under the constraint of the known facets, so that the description of the required data is completed, and if the selection is successful, the corresponding data is returned; if the selection is unsuccessful, the system will calculate the similarity of terms from the synonym dictionary and the conceptual distance map, forming new positioning information.
And realizing the automatic replacement operation of the new and old legal provision data, specifically, firstly, extracting the feature data of the newly received legal provision, and then mining the corresponding old legal provision in the database based on the data mining module according to the special data to realize the automatic replacement operation of the new and old legal provision data.
In this embodiment, the feature extraction module extracts features based on a MapReduce operation depth convolution neural network model; the recommendation model adopts an increment _ V3 model/fuzzy neural network algorithm, so that the accuracy of the subsequently recommended legal provision can be improved while the data operation process can be accelerated.
In this embodiment, the consultation request is entered in a mode of filling up the blank in the template, which is equivalent to a mode of questionnaire, and legal requirements of the user can be cleared, so that the processing efficiency of subsequent data can be greatly improved.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (8)
1. An accurate legal provision recommendation system, comprising:
the system comprises a legal provision acquisition module, a data sorting module and a data processing module, wherein the legal provision acquisition module is used for crawling corresponding legal provision data on a target network base station based on a network crawler module and feeding back the crawled legal provision data to the data sorting module in real time;
the data arrangement module is used for realizing arrangement of legal provision data;
the characteristic extraction module is used for extracting legal provision data and the characteristic data of the input consultation request;
the incidence relation construction module is used for realizing the construction of incidence relation among the legal provision data according to the characteristic data of the legal provision data;
the recommendation model construction module is used for constructing a recommendation model according to the characteristic data and the legal provision data corresponding to the characteristic data;
and the legal provision recommending module is used for recommending the legal provision based on the recommending model, the incidence relation and the input consultation request.
2. The system for accurately recommending legal provisions of claim 1, wherein said legal provisions collection module implements active crawling of legal provisions data according to preset data crawling rules based on a web crawler module.
3. The system as claimed in claim 2, wherein the data crawling rules include legal provision crawling feature rules and legal provision crawling time rules, wherein the legal provision crawling time rules determine whether new updated legal provisions exist on the target network base station based on the update time of each collected legal provision, if so, the network crawler module is started to crawl corresponding legal provision data, and when the legal provision crawling is performed for the first time, the time in the legal provision crawling time rules needs to be manually selected.
4. The system according to claim 1, wherein the data sorting module is configured to find a suitable position in the database for each legal provision and implement an automatic replacement operation of new and old legal provision data, and specifically, first, extract feature data of a newly received legal provision, and then mine its corresponding old legal provision in the database based on the data mining module according to the special data to implement an automatic replacement operation of the new and old legal provision data.
5. The system of claim 1, wherein the feature extraction module implements feature extraction based on a MapReduce run-depth convolutional neural network model.
6. The system of claim 1, wherein the recommendation model employs an inclusion _ V3 model/fuzzy neural network algorithm.
7. The system of claim 1, wherein the consultation request is entered in a template-filled manner.
8. The system of claim 1, further comprising:
and the legal provision typesetting module is used for realizing typesetting of recommended legal provisions and configuring a similar case for each recommended legal provision.
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Cited By (2)
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| CN113094590A (en) * | 2021-05-07 | 2021-07-09 | 董祥宇 | Accurate recommendation system for legal provision |
| CN113377906A (en) * | 2021-06-08 | 2021-09-10 | 四川大学 | Intelligent searching system and method for similar legal items |
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