Model-Based Recommender Systems

Recommender systems are machine learning based algorithms that found application in various business scenarios, e.g., video on demand or music streaming like Netflix and YouTube, products sales recommendation such as Amazon, or content recommendation such as Facebook or Twitter. Besides successful utilization by multinational companies, the recommender systems found application in small business like supermarket, cinema, restaurants, retail stores, etc. In this chapter detailed overview about the algorithms behind the recommender systems was described with focus of the application using the ML.NET open source framework for training, building, and evaluating machine learning models. Furthermore, the methodology and use case scenario for the restaurant recommendation using ML.NET were developed to provide full life-cycle management of the modern cloud based recommended system.