标题： 基于相似性的开发者分析器 -- Turtle Score 显示英文标题

标题： Turtle Score -- Similarity Based Developer Analyzer

摘要： 在日常生活中，对IT公司而言，一个极具挑战性的任务是找到符合公司文化的合适候选人。 本研究旨在理解、分析并自动生成令人信服的结果，以寻找完全适合公司的候选人。 针对从事IT领域的每位员工，收集并检查其绩效指标相关数据。 这基于多个不同类别进行，从而带来多样性和广泛的视角。 针对这些数据，使用机器学习算法进行学习者分析，以获得学习者相似性和开发人员相似性，从而招募具有相同工作模式的人。 事实证明，当与性格相似的人一起工作时，特定工人的效率和能力会更高。 因此，这将为那些希望招募高生产力人才的招聘人员提供有用的工具。 也就是说，设计的模型将以高准确率和无懈可击的推荐分数提供最佳结果。 显示英文摘要

摘要： In day-to-day life, a highly demanding task for IT companies is to find the right candidates who fit the companies' culture. This research aims to comprehend, analyze and automatically produce convincing outcomes to find a candidate who perfectly fits right in the company. Data is examined and collected for each employee who works in the IT domain focusing on their performance measure. This is done based on various different categories which bring versatility and a wide view of focus. To this data, learner analysis is done using machine learning algorithms to obtain learner similarity and developer similarity in order to recruit people with identical working patterns. It's been proven that the efficiency and capability of a particular worker go higher when working with a person of a similar personality. Therefore this will serve as a useful tool for recruiters who aim to recruit people with high productivity. This is to say that the model designed will render the best outcome possible with high accuracy and an immaculate recommendation score.