Lawyer accurate recommendation method and system

Abstract

A lawyer accurate recommendation method comprises the steps: firstly obtaining case description input by a user, then obtaining key vocabularies through a word segmentation means, and obtaining the similarity between a case cause and a user question by calculating the similarity between the case cause and expansion vocabularies of the case cause and each key vocabulary; obtaining professional matching degree scores of the lawyers according to case information handled by the lawyers in the database; obtaining four evaluation items including lawyer on-duty years, case handling duration, lawyer winning rates and expert scores through calculation, giving corresponding weights to the evaluation items, and obtaining professional ability scores of lawyers; according to the location of the user, obtaining two evaluation items, namely the distance between lawyers and the user and the number of cases which are being accepted by the lawyers, and endowing corresponding weights to obtain a serviceconvenience score of the lawyers; and finally, synthesizing the three dimensions to obtain a comprehensive evaluation score of the lawyer, and recommending the lawyer to the user. The invention further discloses a lawyer accurate recommendation system. The lawyer accurate recommendation method and system are high in accuracy and good in service convenience.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and system for accurately recommending lawyers. Background technique [0002] As of the end of 2018, there were 423,000 practicing lawyers and more than 30,000 law firms nationwide. Today, Chinese lawyers are playing an increasingly important role in promoting economic and social development, safeguarding the rights of the people, and ensuring social fairness and justice. For the public, how to find a suitable lawyer among more than 400,000 lawyers to successfully protect their legal rights and make their own demands has become a difficult problem. In order to solve this problem, it is necessary to integrate existing lawyers and case-related information through information technology, evaluate lawyers from multiple dimensions, and recommend corresponding lawyers based on user demands. [0003] Existing lawyer recommendation methods include: Patent CN201...

AI Technical Summary

Problems solved by technology

Although this method can accurately recommend lawyers with high professional level to users, it does not take into account the availability of lawyers and the geographical location of lawyers. There may be situations where the recommended lawyers have many cases in hand at the same time, and there is no way to solve the closed loop of services. The problem

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