Pasquale Lops

A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features

2017

In this article we propose a hybrid recommendation framework based on classification algorithms as Random Forests and Naive Bayes. We fed the framework with several heterogeneous groups of features, and we investigate to what extent …

Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations

2021

In this paper, we present a hybrid recommendation framework based on the combination of graph embeddings and contextual word representations. Our approach is based on the intuition that each of the above mentioned representation models …

Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures

2023

Reproducibility is an important requirement for scientific progress, and the lack of reproducibility for a large amount of published research can hinder the progress over the state-of-the-art. This concerns several research areas, and recommender systems …