Recrewt Job Matching Recommender System
The company Recrewt offers a career guidance tool called the matching app. My master thesis enhances job recommendations using machine learning, achieving a 90% accuracy with a classifier, outperforming the Tesorflow TFRS Recommender.
My Work
My objective revolved around crafting a machine learning model designed to harness existing user data and generate personalized rankings, determining the likelihood of a user favoring or disfavoring specific job opportunities. To achieve this ambitious goal, I harnessed the power of TensorFlow to construct a robust Recommender System, often referred to as TFRS, in addition to a precision-tuned classifier.
About Recrewt
Choosing a career is a big challenge for many students due to the numerous options and uncertainty about their best-fit skills and interests. To aid them, Recrewt specializes in career orientation tools, including a matching app. This app uses gamification to make career exploration fun and motivating. It offers tasks like interest surveys and virtual career insights. It helps students explore various professions, making it engaging and exciting. By analyzing student data, the app provides personalized career recommendations, assisting students in making informed decisions about their future careers.
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