Introduction to Session-Based Recommender Systems

Due to the massive growth of data in recent years, recommender systems have become essential tools to improve people’s lives. However, access to users’ profiles and their long-term interests are crucial challenges of these systems. A session-based recommender system (SBRS) was developed to solve these problems and received much attention from the research community. In this chapter of the book, after presenting an overview of the definitions and techniques of traditional recommender systems, we focus on the fundamental concepts, descriptions, challenges, and approaches of SBRS and clarify the differences between SBRS and SRS (sequential recommender system) from various aspects.