How to make latent factors interpretable by feeding Factorization machines with knowledge graphs

1 code implementation • 11 Sep 2019 • Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta

By relying on the information encoded in the original knowledge graph, we have also evaluated the semantic accuracy and robustness for the knowledge-aware interpretability of the final model.

Informativeness Knowledge Graphs +1

Local Popularity and Time in top-N Recommendation

3 code implementations • 11 Jul 2018 • Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta

Items popularity is a strong signal in recommendation algorithms.

Collaborative Filtering Recommendation Systems

The importance of being dissimilar in Recommendation

1 code implementation • 11 Jul 2018 • Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone

Similarity measures play a fundamental role in memory-based nearest neighbors approaches.