Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Andrea Bacciu, Federico Siciliano, Nicola Tonellotto +1

Sequential Recommender Systems (SRSs) are a popular type of recommender system that learns from a user's history to predict the next item they are likely to interact with. However,…