A Content-Based Recommendation Framework for Judicial Cases

• 作 者: Zichen Guo Tieke He Zemin Qin
• 机 构: StateKeyLaboratoryforNovelSoftwareTechnology
• 出 处: 国际计算机前沿大会会议论文集
• 发表日期: 2019年1期
• 关键词: RECOMMENDATION CONTENT-BASED LDA COSINE SIMILARITY
• 基金项目: the National Key Research and Development Program of China (2016YFC0800805),the National Natural Science Foundation of China (61772014).

Under the background of the Judicial Reform of China, big data of judicial cases are widely used to solve the problem of judicial research. Similarity analysis of judicial cases is the basis of wisdom judicature. In view of the necessity of getting rid of