# Turtle Score -- Similarity Based Developer Analyzer

arXiv: https://arxiv.org/abs/2205.04876 · HTML: https://mlsanity.com/paper/2205.04876/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 9 of its 12 references that are in the map.
- First posted on arXiv 10 May 2022.

## Builds on (most cited first, 9 of 9)

- [Investigations of Performance and Bias in Human-AI Teamwork in Hiring](https://mlsanity.com/paper/2202.11812/) (2022)
- [MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering](https://mlsanity.com/paper/2204.02338/) (2022)
- [Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints](https://mlsanity.com/paper/2202.01661/) (2022)
- [Skill2vec: Machine Learning Approach for Determining the Relevant Skills from Job Description](https://mlsanity.com/paper/1707.09751/) (2017)
- [Comprehensive Movie Recommendation System](https://mlsanity.com/paper/2112.12463/) (2021)
- [A Distributed Real-Time Recommender System for Big Data Streams](https://mlsanity.com/paper/2204.04633/) (2022)
- [Blockchain for Academic Credentials](https://mlsanity.com/paper/2006.12665/) (2020)
- [Collaborative Problem Solving on a Data Platform Kaggle](https://mlsanity.com/paper/2107.11929/) (2021)
- [Finding Clusters of Similar-minded People on Twitter Regarding the Covid-19 Pandemic](https://mlsanity.com/paper/2203.04764/) (2022)

## 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.