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Improved KNN-based procuratorial officer personalized recommendation method

A recommendation method and technology for prosecutors, applied in digital data information retrieval, resources, instruments, etc., can solve problems such as factors that do not give specific results of intelligent case division, and achieve the effect of improving handling efficiency and improving allocation rationality

Pending Publication Date: 2021-07-27
NORTHEASTERN UNIV
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Problems solved by technology

Since the judicial reform, many scholars have conducted research on how to achieve the optimal matching between cases and prosecutors, but the current research is only at the stage of qualitative analysis, except for listing the specific goals that intelligent case division needs to accomplish, there is no What are the specific factors that affect the results of intelligent case division?

Method used

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  • Improved KNN-based procuratorial officer personalized recommendation method
  • Improved KNN-based procuratorial officer personalized recommendation method
  • Improved KNN-based procuratorial officer personalized recommendation method

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Embodiment Construction

[0045] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0046] A personalized recommendation method for prosecutors based on improved KNN, such as figure 1 shown, including the following steps:

[0047] Step 1: Pre-process the case-handling data of the procuratorate, extract all prosecutor data to obtain a list of prosecutors, and obtain the collection of historical cases handled by each prosecutor and the collection of current cases handled by the prosecutor;

[0048]In this embodiment, through the API data interface provided by the procuratorate, the data is regularly acquired and stored in the historical case database. The case-handling data collected include: basic case information table, personnel code table, case catego...

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Abstract

The invention provides an improved KNN-based procuratorial officer personalized recommendation method, and relates to the technical field of personalized recommendation. According to the method, the to-be-recommended procurators are subjected to procurator expected workload analysis and procurator expected workload prediction of the current case handling, personalized procurator recommendation is performed, and distribution of new cases is achieved. The case allocation rationality is improved, and the case handling efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of personalized recommendation, in particular to a method for personalized recommendation of prosecutors based on improved KNN. Background technique [0002] The KNN (K nearest neighbor) algorithm is one of the common classification algorithms in data mining, that is, by calculating the Euclidean distance between the target point and the adjacent nodes, the K nearest neighbor nodes are selected to represent the target point. [0003] In the procuratorate's case-handling process, the issue of case allocation is directly related to the efficiency of case handling, the enthusiasm of prosecutors in handling cases, and the improvement of the incentive system. Since the judicial reform, many scholars have conducted research on how to achieve the optimal matching between cases and prosecutors, but the current research is only at the stage of qualitative analysis, except for listing the specific goals that intellige...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06Q10/06G06Q50/18G06K9/62
CPCG06F16/9536G06Q10/063112G06Q50/18G06F18/24147G06F18/214
Inventor 栗伟闵新杨金钊王子晴赵大哲
Owner NORTHEASTERN UNIV
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