Vito Walter Anelli

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Beyond Words: Can ChatGPT Support State-of-the-Art Recommender Systems?

[BibT_eX]

[DOI]

Dario Di Palma

Giovanni Servedio

Fedelucio Narducci

Leonarda Carnimeo

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

2023

KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs.

[BibT_eX]

[DOI]

Antonio Ferrara

Trans. Recomm. Syst., December, 2023

Data science for next-generation recommender systems.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., August, 2023

Auditing fairness under unawareness through counterfactual reasoning.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2023

Evaluating ChatGPT as a Recommender System: A Rigorous Approach.

[BibT_eX]

[DOI]

Dario Di Palma

CoRR, 2023

A Topology-aware Analysis of Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Daniele Malitesta

CoRR, 2023

Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Counterfactual Reasoning for Decision Model Fairness Assessment.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Semantic Interpretation of BERT Embeddings with Knowledge Graphs.

[BibT_eX]

[DOI]

Alessandro De Bellis

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives.

[BibT_eX]

[DOI]

Markus Schedl

Elisabeth Lex

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Knowledge Graph Datasets for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Counterfactual Reasoning for Responsible AI Assessment.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Navigating the Legal Landscape: Developing Italy's Official Legal Knowledge Graph for Enhanced Legislative and Public Services.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.

[BibT_eX]

[DOI]

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images.

[BibT_eX]

[DOI]

Proceedings of the Software Architecture - 17th European Conference, 2023

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2023

Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

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

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Adversarial Recommender Systems: Attack, Defense, and Advances.

[BibT_eX]

[DOI]

Proceedings of the Recommender Systems Handbook, 2022

Semantic Interpretation of Top-N Recommendations.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

User-controlled federated matrix factorization for recommender systems.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2022

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

[BibT_eX]

[DOI]

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).

[BibT_eX]

[DOI]

Pierpaolo Basile

Gerard de Melo

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Addressing Privacy in Recommender Systems with Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

An Analysis of Local Explanation with LIME-RS.

[BibT_eX]

[DOI]

Alejandro Bellogín

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Interpretability of BERT Latent Space through Knowledge Graphs.

[BibT_eX]

[DOI]

Alessandro De Bellis

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A flexible framework for evaluating user and item fairness in recommender systems.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2021

Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021.

[BibT_eX]

[DOI]

SIGIR Forum, 2021

Adherence and Constancy in LIME-RS Explanations for Recommendation.

[BibT_eX]

[DOI]

Alejandro Bellogín

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Reenvisioning Collaborative Filtering vs Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2021

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Federated Recommender Systems with Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

How to put users in control of their data in federated top-N recommendation with learning to rank.

[BibT_eX]

[DOI]

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

The 2021 RecSys Challenge Dataset: Fairness is not optional.

[BibT_eX]

[DOI]

Luca Belli

Alykhan Tejani

Frank Portman

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning.

[BibT_eX]

[DOI]

Felice Antonio Merra

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper).

[BibT_eX]

[DOI]

Alejandro Bellogín

Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Sparse Embeddings for Recommender Systems with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

FedeRank: User Controlled Feedback with Federated Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2021

A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Knowledge-Aware Interpretable Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting.

[BibT_eX]

[DOI]

Semantic Web, 2020

Prioritized multi-criteria federated learning.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2020

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.

[BibT_eX]

[DOI]

CoRR, 2020

An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.

[BibT_eX]

[DOI]

Luca Belli

Sofia Ira Ktena

Alykhan Tejani

Gabriele Sottocornola

CoRR, 2020

Knowledge-enhanced Shilling Attacks for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.

[BibT_eX]

[DOI]

Amra Delic

Gabriele Sottocornola

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 17th International Conference, 2020

Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper).

[BibT_eX]

[DOI]

Proceedings of the AIxIA 2020 Discussion Papers Workshop co-located with the the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA2020), 2020

2019

Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization.

[BibT_eX]

[DOI]

Ignacio Fernández-Tobías

User Model. User Adapt. Interact., 2019

How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2019, 2019

Anna: A Virtual Assistant to Interact with Puglia Digital Library.

[BibT_eX]

[DOI]

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

The importance of being dissimilar in recommendation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Recommender Systems Fairness Evaluation via Generalized Cross Entropy.

[BibT_eX]

[DOI]

Yashar Deldjoo

Hamed Zamani

Alejandro Bellogín Kouki

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

On the discriminative power of hyper-parameters in cross-validation and how to choose them.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Semantic interpretability of latent factors for recommendation.

[BibT_eX]

[DOI]

Proceedings of the 10th Italian Information Retrieval Workshop, 2019

Local Popularity and Time in top-N Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2019

2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS.

[BibT_eX]

[DOI]