2 papers
cs.IR2026
Measuring the Predictability of Recommender Systems using Structural Complexity Metrics
Andrés Abeliuk, Alfonso Valderrama, Simón Campos +1
Recommender Systems (RS) shape the filtering and curation of online content, yet we have limited understanding of how predictable their recommendation outputs are. We propose data-…
cs.SI2025
Networks Multiscale Entropy Analysis
Sebastián Brzovic, Cristóbal Rojas, Andrés Abeliuk
Understanding the structural complexity and predictability of complex networks is a central challenge in network science. Although recent studies have revealed a relationship betwe…