2 papers
cs.IR2026
Measuring the stability and plasticity of recommender systems
Maria João Lavoura, Robert Jungnickel, João Vinagre
The typical offline protocol to evaluate recommendation algorithms is to collect a dataset of user-item interactions and then use a part of this dataset to train a model, and the r…
cs.IR2024
Rethinking negative sampling in content-based news recommendation
Miguel Ãngelo Rebelo, João Vinagre, Ivo Pereira +1
News recommender systems are hindered by the brief lifespan of articles, as they undergo rapid relevance decay. Recent studies have demonstrated the potential of content-based neur…