research
∙
09/11/2023
Formalizing Multimedia Recommendation through Multimodal Deep Learning
Recommender systems (RSs) offer personalized navigation experiences on o...
share
research
∙
08/24/2023
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis
Multimodal-aware recommender systems (MRSs) exploit multimodal content (...
research
∙
08/21/2023
A Topology-aware Analysis of Graph Collaborative Filtering
The successful integration of graph neural networks into recommender sys...
research
∙
08/01/2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
The success of graph neural network-based models (GNNs) has significantl...
research
∙
06/29/2023
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
In multimodal-aware recommendation, the extraction of meaningful multimo...
research
∙
03/03/2021
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Recommender Systems have shown to be an effective way to alleviate the o...
research
∙
10/02/2020