Learning to Rank in Session-Based Recommender Systems

Today, our daily activities are increasingly dependent on data-oriented systems. A new trend emerged based on machine learning techniques to rank the results in information retrieval and recommender systems automatically called learning to rank (LtR). Two main important subsets of LtR systems include ranking creation and ranking aggregation. This chapter of the book discussed different models of LtR in information retrieval, recommender systems, and session-based recommender systems.