Job Profile Upskilling Through Content-based Course Recommendation System using Hadoop MapReduce

As technology evolves, job roles become more demanding. Job profile upskilling using courses and certifications is imperative for an individual to be up to date about all-indemand skills. Courses related to job profiles help individuals perform better at their workplace as they work more efficiently and optimally while utilising the least necessary resources. Much popular e-commerce and over-the-top (OTT) apps now have recommendation algorithms. Typically, recommender systems will either present a user with a list of items from which they may choose or they will make a prediction as to the degree to which the user will like each item on that list. Collaborative filtering and content-based filtering are two popular methods for making suggestions. Hybrid recommendation systems may be created by combining these two methods, taking into account user ratings and item features when making recommendations. Features of the small data set may be analysed using the currently available data analysis software. Still, a big data analysis platform like Hadoop is utilised when dealing with large datasets found in the course and employment profiles. Hadoop is a platform for processing huge data collections in a decentralised manner. To speed up the process of assessing an item's characteristics (keywords of course descriptions and skill criteria for a job profile), Hadoop employs the MapReduce paradigm to execute distributed processing across clusters of computers.Job Profile Upskilling Through Content-Based Course Recommendation System Using Hadoop MapReduce allows us to predict the most relevant courses according to the job profile preference of the user. Compared to other current recommendation systems, the suggested approach improves reliability and fault tolerance because of its use of course ratings to predict relevance with respect to attributes in job profiles. The suggested approach outperforms state-of-the-art recommendation engines, according to experimental data