Marco de Gemmis

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 …