4 papers
Eco-Amazon: Enriching E-commerce Datasets with Product Carbon Footprint for Sustainable Recommendations
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto +2
In the era of responsible and sustainable AI, information retrieval and recommender systems must expand their scope beyond traditional accuracy metrics to incorporate environmental…
Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M
Giuseppe Spillo, Alessandro Petruzzelli, Cataldo Musto +3
As Multimodal Recommender Systems gain interest, high-quality datasets with multimedia side information have become essential. However, much of the current literature reports exper…
xVLM2Vec: Adapting LVLM-based embedding models to multilinguality using Self-Knowledge Distillation
Elio Musacchio, Lucia Siciliani, Pierpaolo Basile +1
In the current literature, most embedding models are based on the encoder-only transformer architecture to extract a dense and meaningful representation of the given input, which c…
Exploring the Word Sense Disambiguation Capabilities of Large Language Models
Pierpaolo Basile, Lucia Siciliani, Elio Musacchio +1
Word Sense Disambiguation (WSD) is a historical task in computational linguistics that has received much attention over the years. However, with the advent of Large Language Models…