Turtle Score -- Similarity Based Developer Analyzer
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 12 references that are in the map. First posted on arXiv 10 May 2022.
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References · 9
- 2022Investigations of Performance and Bias in Human-AI Teamwork in Hiringcited by 16
- 2022MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filteringcited by 11
- 2022Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraintscited by 5
- 2017Skill2vec: Machine Learning Approach for Determining the Relevant Skills from Job Descriptioncited by 2
- 2021Comprehensive Movie Recommendation Systemcited by 2
- 2022A Distributed Real-Time Recommender System for Big Data Streamscited by 2
- 2020Blockchain for Academic Credentialscited by 1
- 2021Collaborative Problem Solving on a Data Platform Kagglecited by 1
- 2022Finding Clusters of Similar-minded People on Twitter Regarding the Covid-19 Pandemiccited by 1
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