计算机与现代化

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基于特征值的律师推荐算法及改进方案

  

  1. (中国电子科技集团公司第十五研究所系统八部,北京100083)
  • 收稿日期:2018-04-12 出版日期:2018-10-26 发布日期:2018-10-26
  • 作者简介:汪海鹏(1993-),男,河北昌黎人,中国电子科技集团公司第十五研究所系统八部硕士研究生,研究方向:自然语言处理; 郑扬飞(1976-),男,浙江丽水人,高级工程师,博士,研究方向:自然语言处理,信息安全。

Lawyers Recommendation Algorithm and Improvement Scheme Based on Eigenvalue

  1. (China Electronic Technology Group Corporation Fifteenth Intitute Eighth System Department, Beijing 100083, China)
  • Received:2018-04-12 Online:2018-10-26 Published:2018-10-26

摘要: 随着国家法制化进程的发展,选择合适的律师对公民依法维权变得愈发重要,然而传统律师行业缺乏一套客观公正的评价机制,对律师能力的评判主要来自法律专业人士的评价,致使用户只能凭借一部分的运气成分粗放式的选择律师。本文在传统的律师推荐算法的基础上提出改进方案,在律师评价的特征值中引入难度系数这一参数,为正在完善的北京市司法局律师管理系统加入律师推荐功能,旨在为用户选择律师提供更为客观的参考与帮助。

关键词: 律师管理系统, 律师推荐算法, 律师评价机制

Abstract: With the development of the country’s legalization process, the selection of suitable lawyers becomes increasingly important for citizens to safeguard their rights in accordance with the law. However, the traditional lawyer industry lacks an objective and fair evaluation mechanism, and the judgement of the lawyer’s ability mainly comes from the evaluation of legal professionals. The user can only select lawyers extensively with a part of the luck component. Based on the traditional lawyers recommendation algorithm, this paper proposes an improvement plan. The parameter of degree of difficulty is introduced into the feature value of the lawyers evaluation, and the lawyers management system of the Beijing Municipal Bureau of Justice is added with the lawyers recommendation function, aiming at selecting the lawyer for the user so as to provide more objective references and help.

Key words: lawyer management system, lawyer recommendation algorithm, lawyer evaluation mechanism

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