Resuminer – A Résumé Recommender System for Job Seekers using Cluster Analysis

Abstract

Resumes or curriculum vitae are an essential requirement for job seekers in any industry and are usually the first interactions with third parties that are actively hiring. For a single person, there is an infinite combination of résumés possible. They can vary not only in style, but in the content and the overall presentation. Resuminer is a system for comparing and tracking résumés and their performance against jobseekers. By tracking how a third party interact online with a résumé, and by gathering a large quantity of résumés, the system can analyze new résumés as input and make recommendations as to what elements can improve the chances of getting a callback. The system will assign “interaction points” with different values to the various elements in a résumé. Key Terms - Bag of Words, Clustering, Corpus, Natural Language Processing (NLP).