Lawyers Recommendation Algorithm and Improvement Scheme Based on Eigenvalue

doi:10.3969/j.issn.1006-2475.2018.10.004

Abstract

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

CLC Number:

TP391.1

WANG Hai-peng, ZHENG Yang-fei. Lawyers Recommendation Algorithm and Improvement Scheme Based on Eigenvalue[J]. Computer and Modernization, 2018, 0(10): 18-.

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