R.S. - Kaggle Data Science Competition

Politecnico di Milano - Recommender Systems Project - Kaggle Competition (Machine Learning) https://inclass.kaggle.com/c/recommender-system-2016-challenge-polimi

Info

• Hands-on project for the R.S. course at Politecnico di Milano, written in C#.
• The goal of the competition was to predict a set of jobs for many target users, based on the record of past jobs looked at by each user. The application domain was a professional social network, where users look for open job positions.
• Were applied several predictions algorithms such as Content Based (CB), Collaborative Filtering (CF), TF/IDF, KNN and Hybrids ones.

How does it work

• Receives as input some csv datasets (of user profiles and interactions)
• Executes ML algorithms
• Gives in output a list of predicted jobs of each target user

Report

• Pdf of the final report available in the related folder