Algorithms in Recommender Systems

Modern web platforms dealing with large number of items use recommender systems to automatically suggest new interesting items to users and, hence, to keep them using the platform. From the users’ perspective, recommender systems help them handle information overload. In our presentation, we discussed methods and algorithms used in recommender systems. We started with collaborative filtering, which traditionally is the most used approach, then we talked about content-based and knowledge-based recommender systems and highlighted their merits.