Vito Walter Anelli

Orcid: 0000-0002-5567-4307

Affiliations:
  • Politecnico di Bari, Italy


According to our database1, Vito Walter Anelli authored at least 95 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs.
Trans. Recomm. Syst., December, 2023

Data science for next-generation recommender systems.
Int. J. Data Sci. Anal., August, 2023

Auditing fairness under unawareness through counterfactual reasoning.
Inf. Process. Manag., 2023

Evaluating ChatGPT as a Recommender System: A Rigorous Approach.
CoRR, 2023

A Topology-aware Analysis of Graph Collaborative Filtering.
CoRR, 2023

Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning.
CoRR, 2023

Counterfactual Reasoning for Decision Model Fairness Assessment.
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.
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.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Semantic Interpretation of BERT Embeddings with Knowledge Graphs.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Knowledge Graph Datasets for Recommendation.
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.
Proceedings of the Italia Intelligenza Artificiale, 2023

Navigating the Legal Landscape: Developing Italy's Official Legal Knowledge Graph for Enhanced Legislative and Public Services.
Proceedings of the Italia Intelligenza Artificiale, 2023

Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images.
Proceedings of the Software Architecture - 17th European Conference, 2023

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.
Proceedings of the Advances in Information Retrieval, 2023

Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Adversarial Recommender Systems: Attack, Defense, and Advances.
Proceedings of the Recommender Systems Handbook, 2022

Semantic Interpretation of Top-N Recommendations.
IEEE Trans. Knowl. Data Eng., 2022

User-controlled federated matrix factorization for recommender systems.
J. Intell. Inf. Syst., 2022

Top-N Recommendation Algorithms: A Quest for the State-of-the-Art.
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.
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.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.
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).
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.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

An Analysis of Local Explanation with LIME-RS.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.
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.
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.
User Model. User Adapt. Interact., 2021

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

Adherence and Constancy in LIME-RS Explanations for Recommendation.
CoRR, 2021

Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality.
CoRR, 2021

Reenvisioning Collaborative Filtering vs Matrix Factorization.
CoRR, 2021

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images.
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.
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.
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.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

The 2021 RecSys Challenge Dataset: Fairness is not optional.
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.
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.
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.
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.
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.
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).
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).
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.
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.
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.
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.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

FedeRank: User Controlled Feedback with Federated Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2021

A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders.
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.
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.
Semantic Web, 2020

Prioritized multi-criteria federated learning.
Intelligenza Artificiale, 2020

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.
CoRR, 2020

An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders.
CoRR, 2020

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation.
CoRR, 2020

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.
CoRR, 2020

Knowledge-enhanced Shilling Attacks for Recommendation.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.
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.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs.
Proceedings of the Semantic Web - 17th International Conference, 2020

Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario.
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).
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.
User Model. User Adapt. Interact., 2019

How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2019, 2019

Anna: A Virtual Assistant to Interact with Puglia Digital Library.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

The importance of being dissimilar in recommendation.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Recommender Systems Fairness Evaluation via Generalized Cross Entropy.
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.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Semantic interpretability of latent factors for recommendation.
Proceedings of the 10th Italian Information Retrieval Workshop, 2019

Local Popularity and Time in top-N Recommendation.
Proceedings of the Advances in Information Retrieval, 2019

2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Towards Effective Device-Aware Federated Learning.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018
Time and Local Popularity in top-N Recommendation.
CoRR, 2018

Ontology-based Linked Data Summarization in Semantics-aware Recommender Systems.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Knowledge-aware and conversational recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Moving from Item Rating to Features Relevance in Top-N Recommendation.
Proceedings of the 9th Italian Information Retrieval Workshop, 2018

2017
Etytree: A Graphical and Interactive Etymology Dictionary based on Wiktionary.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Querying deep web data sources as linked data.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

An Analysis on Time- and Session-aware Diversification in Recommender Systems.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance.
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

On the Role of Time and Sessions in Diversifying Recommendation Results.
Proceedings of the 8th Italian Information Retrieval Workshop, 2017

2016
Exposing Open Street Map in the Linked Data cloud.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Exposing Open Street Map in the Linked Data Cloud.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

2015
Efficient implementation of InSAR time-consuming algorithm kernels on GPU environment.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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