Collaborative job prediction based on Naïve Bayes Classifier using python platform

The paper aims to implement recommendation system based on collaborative filtering technique for job portals. The system is designed to suggest the jobs to the user depending upon his profile and by calculating a similarity index using Euclidian distance of two skill sets and then ranking them according to their naïve Bayes algorithm. The recommendation system has been implemented in python.