用案例推理法自动匹配毕业设计题目，提升选题效率。
Searching the Title of Practical Work of the Informatics Engineering Bachelor Program with the Case Base Reasoning Method
- 基于相似度匹配历史题目，用TF-IDF和余弦相似性计算。
- 测试705个题目，第二阶段平均匹配分最高，结果稳定。
- 适合高校教师或学生快速生成或筛选实践课题。
案例基推理（Case Base Reasoning, CBR）是一种基于已有案例经验的求解技术，通过寻找与当前问题最相似的历史案例来解决问题。本文将CBR应用于毕业设计实践题目搜索。采用TF-IDF对每个题目的词语进行向量化处理，并使用余弦相似性计算题目间的相似度。系统支持按题目或关键词搜索，输出包括匹配的题目名称及对应匹配分。基于705个实际题目进行测试，共分两阶段：第一阶段以现有题目为查询，第二阶段从第一阶段结果中随机生成新题目。结果显示，第二阶段找到的题目数量与第一阶段相同，且平均匹配分更高，表明系统在多样化输入下仍具稳定性能。
原文摘要 · Abstract (English)
Case Base Reasoning (CBR) is a case solving technique based on experience in cases that have occurred before with the highest similarity. CBR is used to search for practical work titles. TF-IDF is applied to process the vectorization of each practical work title word and Cosine Similarity for the calculation of similarity values. This system can search either in the form of titles or keywords. The output of the system is the title of practical work and the match value of each title. Based on the test results using 705 practical work titles, testing was carried out with five titles and carried out in two stages. The first stage searches with existing titles and the second stage randomizes the title from the first stage. And the results obtained in the second stage are the same number of titles found and the highest average match score.
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