Lawyer Recommendation System Based On User Profiles And Collaborative Filtering

Authors

  • Enbo Yu
  • Chunxi Wang
  • Xinlin Zou
  • Cancan You
  • Xiangyu He

DOI:

https://doi.org/10.56028/aetr.11.1.237.2024

Keywords:

Legal aid services; User profile; Collaborative filtering.

Abstract

This study discusses the difficulties that ordinary citizens face when dealing with legal problems in the process of China's rule of law, including high lawyer fees, lengthy litigation processes, the shortcomings of existing lawyer recommendation methods, and the lack of channels for efficient matching between user needs and lawyers. Currently, when seeking legal rights protection, citizens usually rely on referrals from acquaintances or search engines to find lawyers, but these methods have some issues. Lawyer recommendation platforms are still in the early stages of development in China, with problems such as data gaps, opaque information sources, and quality issues. To address these problems, this study proposes a user profile-based lawyer recommendation system, aiming to provide citizens with more accurate and centralized legal aid services, as well as establish an efficient user-lawyer matching channel.

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Published

2024-07-22