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Law Recommendation Method and System Based on Classification and Labeling

A recommendation method and legal technology, applied in the field of big data, can solve the problems of similar litigation cases, inability to meet the individual needs of different groups of people, and legal information staying at a relatively elementary level, and achieve the effect of reducing the amount of reading

Active Publication Date: 2021-11-30
广州越富嘉驰网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the retrieval of legal information in the existing technology is still at a relatively early stage: the user selects the classification information of litigation cases, enters a number of keywords, and the system automatically displays the cases containing the above keywords in the type of litigation cases to the user
[0004] First, there are many cases that may be returned by such a search, which is not easy to read; second, there are cases where the litigation cases are similar, and there are many contradictory cases; third, it is impossible to take into account ordinary people, lawyers, judges, etc. Different degrees, the returned results are unitary, the degree of personalization is not high, and it cannot meet the individual needs of different groups of people

Method used

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  • Law Recommendation Method and System Based on Classification and Labeling

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Embodiment Construction

[0016] Such as figure 1 As shown, in an embodiment of the present invention, a legal recommendation method based on classification labeling includes the following steps:

[0017] S1. Identify the identity of the user;

[0018] S2. Preprocessing the database of legal provisions; adjusting the legal recommendation strategy according to the identification results; making legal recommendations according to the selected legal recommendation strategy;

[0019] S3. Display the legal recommendation result to the user.

[0020] Beneficial technical effects: Compared with the prior art, the present invention can realize: by identifying the identity of the user; adjusting the legal recommendation strategy according to the identification result; performing legal recommendation according to the selected legal recommendation strategy; displaying the legal recommendation result to the user, It enables different groups of people to pay attention to their own points of interest, reducing the...

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Abstract

A legal recommendation method based on classification and labeling, which includes the following steps: S1. Identifying the identity of the user; S2. Preprocessing the legal clause database; adjusting the legal recommendation strategy according to the identification result; Recommendation; S3. Display the legal recommendation result to the user. The invention also provides a legal recommendation system based on classification and annotation.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method and system for legal recommendation based on classification and annotation. Background technique [0002] With the continuous improvement of our country's legislation and the gradual advancement of the disclosure of precedents, the application of precedents in legal proceedings has become possible. [0003] However, the retrieval of legal information in the prior art is still at a relatively early stage: the user selects the classification information of litigation cases, enters some keywords, and the system automatically displays the cases containing the above keywords among the litigation cases of this type to the user. [0004] First, there are many cases that may be returned by such a search, which is not easy to read; second, there are cases where the litigation cases are similar, and there are many contradictory cases; third, it is impossible to take into account...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/33G06F16/332
CPCG06F16/3322G06F16/334G06F16/3343
Inventor 钟迪
Owner 广州越富嘉驰网络科技有限公司