Vito Walter Anelli | DeepAI

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∙ 09/07/2023

Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Recent popularity surrounds large AI language models due to their impres...

0 Dario Di Palma, et al. ∙

∙ 08/21/2023

A Topology-aware Analysis of Graph Collaborative Filtering

The successful integration of graph neural networks into recommender sys...

0 Daniele Malitesta, et al. ∙

∙ 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...

0 Vito Walter Anelli, et al. ∙

∙ 06/21/2023

Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation

Information Retrieval (IR) and Recommender Systems (RS) tasks are moving...

0 Vincenzo Paparella, et al. ∙

∙ 02/16/2023

Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting

Current AI regulations require discarding sensitive features (e.g., gend...

0 Giandomenico Cornacchia, et al. ∙

∙ 02/16/2023

Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning

The increasing application of Artificial Intelligence and Machine Learni...

0 Giandomenico Cornacchia, et al. ∙

∙ 03/02/2022

Top-N Recommendation Algorithms: A Quest for the State-of-the-Art

Research on recommender systems algorithms, like other areas of applied ...

0 Vito Walter Anelli, et al. ∙

∙ 09/02/2021

Adherence and Constancy in LIME-RS Explanations for Recommendation

Explainable Recommendation has attracted a lot of attention due to a ren...

0 Vito Walter Anelli, et al. ∙

∙ 07/29/2021

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs

Deep Learning and factorization-based collaborative filtering recommenda...

0 Vito Walter Anelli, et al. ∙

∙ 07/29/2021

Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality

Recommender systems (RSs) employ user-item feedback, e.g., ratings, to m...

0 Vito Walter Anelli, et al. ∙

∙ 07/28/2021

Reenvisioning Collaborative Filtering vs Matrix Factorization

Collaborative filtering models based on matrix factorization and learned...

41 Vito Walter Anelli, et al. ∙

∙ 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...

0 Vito Walter Anelli, et al. ∙

∙ 12/15/2020

FedeRank: User Controlled Feedback with Federated Recommender Systems

Recommender systems have shown to be a successful representative of how ...

0 Vito Walter Anelli, et al. ∙

∙ 10/03/2020

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings

Recommender systems (RSs) have attained exceptional performance in learn...

0 Vito Walter Anelli, et al. ∙

∙ 10/02/2020

An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders

Visual-based recommender systems (VRSs) enhance recommendation performan...

1 Vito Walter Anelli, et al. ∙

∙ 08/17/2020

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation

Recommendation services are extensively adopted in several user-centered...

0 Vito Walter Anelli, et al. ∙

∙ 07/17/2020

Prioritized Multi-Criteria Federated Learning

In Machine Learning scenarios, privacy is a crucial concern when models ...

0 Vito Walter Anelli, et al. ∙

∙ 09/11/2019

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

Model-based approaches to recommendation can recommend items with a very...

0 Vito Walter Anelli, et al. ∙

∙ 09/05/2019

On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them

Hyper-parameters tuning is a crucial task to make a model perform at its...

0 Vito Walter Anelli, et al. ∙

∙ 08/20/2019

Towards Effective Device-Aware Federated Learning

With the wealth of information produced by social networks, smartphones,...

0 Vito Walter Anelli, et al. ∙

∙ 08/19/2019

Recommender Systems Fairness Evaluation via Generalized Cross Entropy

Fairness in recommender systems has been considered with respect to sens...

0 Yashar Deldjoo, et al. ∙

∙ 07/11/2018

The importance of being dissimilar in Recommendation

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

0 Vito Walter Anelli, et al. ∙

∙ 07/11/2018

Time and Local Popularity in top-N Recommendation

Items popularity is a strong signal in recommendation algorithms. It aff...

0 Vito Walter Anelli, et al. ∙

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