Efficient implementation of InSAR time-consuming algorithm kernels on GPU environment. - Andrea Guerriero; Vito Walter Anelli; Alessandro Pagliara; Raffaele Nutricato; Davide Oscar Nitti (IGARSS, 2015)

Exposing Open Street Map in the Linked Data Cloud. - Vito Walter Anelli; Andrea Calì; Tommaso Di Noia; Matteo Palmonari; Azzurra Ragone (IEA/AIE, 2016)

Exposing Open Street Map in the Linked Data cloud. - Vito Walter Anelli; Andrea Calì; Tommaso Di Noia; Andrea Maurino; Matteo Palmonari; Azzurra Ragone (SEBD, 2016)

On the Role of Time and Sessions in Diversifying Recommendation Results. - Vito Walter Anelli; Vito Bellini; Tommaso Di Noia; Wanda La Bruna; Paolo Tomeo; Eugenio Di Sciascio (IIR, 2017)

Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. - Vito Walter Anelli; Tommaso Di Noia; Pasquale Lops; Eugenio Di Sciascio (RecSysKTL, 2017)

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. - Vito Bellini; Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio (DLRS@RecSys, 2017)

An Analysis on Time- and Session-aware Diversification in Recommender Systems. - Vito Walter Anelli; Vito Bellini; Tommaso Di Noia; Wanda La Bruna; Paolo Tomeo; Eugenio Di Sciascio (UMAP, 2017)

Querying deep web data sources as linked data. - Vito Walter Anelli; Vito Bellini; Andrea Calì; Giuseppe De Santis; Tommaso Di Noia; Eugenio Di Sciascio (WIMS, 2017)

Etytree: A Graphical and Interactive Etymology Dictionary based on Wiktionary. - Ester Pantaleo; Vito Walter Anelli; Tommaso Di Noia; Gilles Sérasset (WWW (Companion Volume), 2017)

Moving from Item Rating to Features Relevance in Top-N Recommendation. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Pasquale Lops; Joseph Trotta (IIR, 2018)

Knowledge-aware and conversational recommender systems. - Vito Walter Anelli; Pierpaolo Basile; Derek G. Bridge; Tommaso Di Noia; Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Markus Zanker (RecSys, 2018)

Ontology-based Linked Data Summarization in Semantics-aware Recommender Systems. - Vito Walter Anelli; Tommaso Di Noia; Andrea Maurino; Matteo Palmonari; Anisa Rula (SEBD, 2018)

Time and Local Popularity in top-N Recommendation. - Vito Walter Anelli; Joseph Trotta; Tommaso Di Noia; Eugenio Di Sciascio; Azzurra Ragone (CoRR, 2018)

Towards Effective Device-Aware Federated Learning. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001 (AI*IA, 2019)

2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS. - Vito Walter Anelli; Tommaso Di Noia (CIKM, 2019)

Local Popularity and Time in top-N Recommendation. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Azzurra Ragone; Joseph Trotta (ECIR (1), 2019)

Semantic interpretability of latent factors for recommendation. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Azzurra Ragone; Claudio Pomo (IIR, 2019)

On the discriminative power of hyper-parameters in cross-validation and how to choose them. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Claudio Pomo; Azzurra Ragone (RecSys, 2019)

Recommender Systems Fairness Evaluation via Generalized Cross Entropy. - Yashar Deldjoo; Vito Walter Anelli; Hamed Zamani; Alejandro Bellogín Kouki; Tommaso Di Noia (RMSE@RecSys, 2019)

The importance of being dissimilar in recommendation. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Azzurra Ragone; Joseph Trotta (SAC, 2019)

Anna: A Virtual Assistant to Interact with Puglia Digital Library. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Azzurra Ragone (SEBD, 2019)

How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Azzurra Ragone; Joseph Trotta (ISWC (1), 2019)

Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. - Ignacio Fernández-Tobías; Iván Cantador; Paolo Tomeo; Vito Walter Anelli; Tommaso Di Noia (User Model. User Adapt. Interact., 2019)

Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper). - Vito Walter Anelli; Tommaso Di Noia; Daniele Malitesta; Felice Antonio Merra (DP@AI*IA, 2020)

Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Daniele Malitesta (EAIS, 2020)

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Felice Antonio Merra (ESWC, 2020)

Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (RecSys, 2020)

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. - Vito Walter Anelli; Amra Delic; Gabriele Sottocornola; Jessie Smith; Nazareno Andrade; Luca Belli; Michael M. Bronstein; Akshay Gupta; Sofia Ira Ktena; Alexandre Lung-Yut-Fong; Frank Portman; Alykhan Tejani; et al. (RecSys, 2020)

Knowledge-enhanced Shilling Attacks for Recommendation. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra; Giuseppe Acciani; Eugenio Di Sciascio (SEBD, 2020)

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. - Luca Belli; Sofia Ira Ktena; Alykhan Tejani; Alexandre Lung-Yut-Fong; Frank Portman; Xiao Zhu; Yuanpu Xie; Akshay Gupta; Michael M. Bronstein; Amra Delic; Gabriele Sottocornola; Vito Walter Anelli; et al. (CoRR, 2020)

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (CoRR, 2020)

An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders. - Vito Walter Anelli; Tommaso Di Noia; Daniele Malitesta; Felice Antonio Merra (CoRR, 2020)

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. - Vito Walter Anelli; Alejandro Bellogín; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (CoRR, 2020)

Prioritized multi-criteria federated learning. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001 (Intelligenza Artificiale, 2020)

Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting. - Vito Walter Anelli; Renato De Leone; Tommaso Di Noia; Thomas Lukasiewicz; Jessica Rosati (Semantic Web, 2020)

Knowledge-Aware Interpretable Recommender Systems. - Vito Walter Anelli; Vito Bellini; Tommaso Di Noia; Eugenio Di Sciascio (Knowledge Graphs for eXplainable Artificial Intelligence, 2020)

A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (CIKM, 2021)

FedeRank: User Controlled Feedback with Federated Recommender Systems. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (ECIR (1), 2021)

MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. - Vito Walter Anelli; Alejandro Bellogín; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (FLAIRS, 2021)

How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation. - Vito Walter Anelli; Alejandro Bellogín; Antonio Ferrara 001; Daniele Malitesta; Felice Antonio Merra; Claudio Pomo; Francesco Maria Donini; Eugenio Di Sciascio; Tommaso Di Noia (IIR, 2021)

Sparse Embeddings for Recommender Systems with Knowledge Graphs. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (IIR, 2021)

Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. - Vito Walter Anelli; Luca Belli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci; Claudio Pomo (RecSys, 2021)

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. - Vito Walter Anelli; Alejandro Bellogín; Antonio Ferrara 001; Daniele Malitesta; Felice Antonio Merra; Claudio Pomo; Francesco Maria Donini; Tommaso Di Noia (RecSys, 2021)

Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). - Vito Walter Anelli; Pierpaolo Basile; Tommaso Di Noia; Francesco M. Donini; Cataldo Musto; Fedelucio Narducci; Markus Zanker (RecSys, 2021)

Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). - Vito Walter Anelli; Alejandro Bellogín; Tommaso Di Noia; Francesco Maria Donini; Vincenzo Paparella; Claudio Pomo (KaRS/ComplexRec@RecSys, 2021)

Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. - Vito Walter Anelli; Alejandro Bellogín; Tommaso Di Noia; Claudio Pomo (RecSys, 2021)

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. - Vito Walter Anelli; Saikishore Kalloori; Bruce Ferwerda; Luca Belli; Alykhan Tejani; Frank Portman; Alexandre Lung-Yut-Fong; Ben Chamberlain 001; Yuanpu Xie; Jonathan Hunt; Michael M. Bronstein; Wenzhe Shi (RecSys, 2021)

The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning. - Vito Walter Anelli; Tommaso Di Noia; Felice Antonio Merra (RecSys, 2021)

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (RecSys, 2021)

Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Daniele Malitesta; Felice Antonio Merra (OHARS@RecSys, 2021)

The 2021 RecSys Challenge Dataset: Fairness is not optional. - Luca Belli; Alykhan Tejani; Frank Portman; Alexandre Lung-Yut-Fong; Ben Chamberlain 001; Yuanpu Xie; Kristian Lum; Jonathan Hunt; Michael M. Bronstein; Vito Walter Anelli; Saikishore Kalloori; Bruce Ferwerda; et al. (RecSys Challenge, 2021)

How to put users in control of their data in federated top-N recommendation with learning to rank. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (SAC, 2021)

Federated Recommender Systems with Learning to Rank. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (SEBD, 2021)

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. - Vito Walter Anelli; Alejandro Bellogín; Antonio Ferrara 001; Daniele Malitesta; Felice Antonio Merra; Claudio Pomo; Francesco Maria Donini; Tommaso Di Noia (SIGIR, 2021)

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Daniele Malitesta; Felice Antonio Merra (SIGIR, 2021)

Reenvisioning Collaborative Filtering vs Matrix Factorization. - Vito Walter Anelli; Alejandro Bellogín; Tommaso Di Noia; Claudio Pomo (CoRR, 2021)

Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (CoRR, 2021)

Adherence and Constancy in LIME-RS Explanations for Recommendation. - Vito Walter Anelli; Alejandro Bellogín; Tommaso Di Noia; Francesco Maria Donini; Vincenzo Paparella; Claudio Pomo (CoRR, 2021)

Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021. - Vito Walter Anelli; Pierpaolo Basile; Toine Bogers; Tommaso Di Noia; Francesco Maria Donini; Bamshad Mobasher; Cataldo Musto; Fedelucio Narducci; Casper Petersen; Maria Soledad Pera; Markus Zanker (SIGIR Forum, 2021)

A flexible framework for evaluating user and item fairness in recommender systems. - Yashar Deldjoo; Vito Walter Anelli; Hamed Zamani; Alejandro Bellogín; Tommaso Di Noia (User Model. User Adapt. Interact., 2021)

Interpretability of BERT Latent Space through Knowledge Graphs. - Vito Walter Anelli; Giovanni Maria Biancofiore; Alessandro De Bellis; Tommaso Di Noia; Eugenio Di Sciascio (CIKM, 2022)

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Daniele Malitesta; Claudio Pomo (DL4SR@CIKM, 2022)

An Analysis of Local Explanation with LIME-RS. - Vito Walter Anelli; Alejandro Bellogín; Tommaso Di Noia; Francesco Maria Donini; Vincenzo Paparella; Claudio Pomo (IIR, 2022)

Addressing Privacy in Recommender Systems with Federated Learning. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (IIR, 2022)

Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). - Vito Walter Anelli; Pierpaolo Basile; Gerard de Melo; Francesco Maria Donini; Antonio Ferrara 001; Cataldo Musto; Fedelucio Narducci; Azzurra Ragone; Markus Zanker (RecSys, 2022)

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Daniele Malitesta; Claudio Pomo (MORS@RecSys, 2022)

The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models. - Vito Walter Anelli; Alejandro Bellogín; Antonio Ferrara 001; Daniele Malitesta; Felice Antonio Merra; Claudio Pomo; Francesco M. Donini; Eugenio Di Sciascio; Tommaso Di Noia (SEBD, 2022)

Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Alberto Carlo Maria Mancino (SEBD, 2022)

Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. - Vito Walter Anelli; Alejandro Bellogín; Tommaso Di Noia; Dietmar Jannach; Claudio Pomo (UMAP, 2022)

User-controlled federated matrix factorization for recommender systems. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (J. Intell. Inf. Syst., 2022)

Semantic Interpretation of Top-N Recommendations. - Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio; Azzurra Ragone; Joseph Trotta (IEEE Trans. Knowl. Data Eng., 2022)

Adversarial Recommender Systems: Attack, Defense, and Advances. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (Recommender Systems Handbook, 2022)

Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. - Vincenzo Paparella; Vito Walter Anelli; Franco Maria Nardini; Raffaele Perego 001; Tommaso Di Noia (CIKM, 2023)

Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting. - Giandomenico Cornacchia; Vito Walter Anelli; Fedelucio Narducci; Azzurra Ragone; Eugenio Di Sciascio (ECAI, 2023)

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Daniele Malitesta; Vincenzo Paparella; Claudio Pomo (ECIR (1), 2023)

Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images. - Potito Aghilar; Vito Walter Anelli; Michelantonio Trizio; Tommaso Di Noia (ECSA, 2023)

Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective. - Dario Di Palma; Vito Walter Anelli; Daniele Malitesta; Vincenzo Paparella; Claudio Pomo; Yashar Deldjoo; Tommaso Di Noia (IIR, 2023)

Navigating the Legal Landscape: Developing Italy's Official Legal Knowledge Graph for Enhanced Legislative and Public Services. - Vito Walter Anelli; Eros Brienza; Marco Recupero; Francesco Greco; Andrea De Maria; Tommaso Di Noia; Eugenio Di Sciascio (Ital-IA, 2023)

Counterfactual Reasoning for Responsible AI Assessment. - Giandomenico Cornacchia; Vito Walter Anelli; Fedelucio Narducci; Azzurra Ragone; Eugenio Di Sciascio (Ital-IA, 2023)

Knowledge Graph Datasets for Recommendation. - Vincenzo Paparella; Alberto Carlo Maria Mancino; Antonio Ferrara 001; Claudio Pomo; Vito Walter Anelli; Tommaso Di Noia (KaRS@RecSys, 2023)

Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). - Vito Walter Anelli; Pierpaolo Basile; Gerard de Melo; Francesco M. Donini; Antonio Ferrara 001; Cataldo Musto; Fedelucio Narducci; Azzurra Ragone; Markus Zanker (RecSys, 2023)

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. - Vito Walter Anelli; Daniele Malitesta; Claudio Pomo; Alejandro Bellogín; Eugenio Di Sciascio; Tommaso Di Noia (RecSys, 2023)

Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. - Vincenzo Paparella; Vito Walter Anelli; Ludovico Boratto; Tommaso Di Noia (RecSys, 2023)

Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy. - Vincenzo Paparella; Dario Di Palma; Vito Walter Anelli; Tommaso Di Noia (RecSys, 2023)

Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives. - Markus Schedl; Vito Walter Anelli; Elisabeth Lex (RecSys, 2023)

Semantic Interpretation of BERT Embeddings with Knowledge Graphs. - Alessandro De Bellis; Giovanni Maria Biancofiore; Vito Walter Anelli; Fedelucio Narducci; Tommaso Di Noia; Azzurra Ragone; Eugenio Di Sciascio (SEBD, 2023)

Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. - Felice Antonio Merra; Vito Walter Anelli; Tommaso Di Noia; Daniele Malitesta; Alberto Carlo Maria Mancino (SIGIR, 2023)

An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework. - Daniele Malitesta; Claudio Pomo; Vito Walter Anelli; Tommaso Di Noia; Antonio Ferrara 001 (UMAP (Adjunct Publication), 2023)

Counterfactual Reasoning for Decision Model Fairness Assessment. - Giandomenico Cornacchia; Vito Walter Anelli; Fedelucio Narducci; Azzurra Ragone; Eugenio Di Sciascio (WWW (Companion Volume), 2023)

Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning. - Giandomenico Cornacchia; Vito Walter Anelli; Fedelucio Narducci; Azzurra Ragone; Eugenio Di Sciascio (CoRR, 2023)

A Topology-aware Analysis of Graph Collaborative Filtering. - Daniele Malitesta; Claudio Pomo; Vito Walter Anelli; Alberto Carlo Maria Mancino; Eugenio Di Sciascio; Tommaso Di Noia (CoRR, 2023)

Evaluating ChatGPT as a Recommender System: A Rigorous Approach. - Dario Di Palma; Giovanni Maria Biancofiore; Vito Walter Anelli; Fedelucio Narducci; Tommaso Di Noia; Eugenio Di Sciascio (CoRR, 2023)

Auditing fairness under unawareness through counterfactual reasoning. - Giandomenico Cornacchia; Vito Walter Anelli; Giovanni Maria Biancofiore; Fedelucio Narducci; Claudio Pomo; Azzurra Ragone; Eugenio Di Sciascio (Inf. Process. Manag., 2023)

Data science for next-generation recommender systems. - Shoujin Wang; Yan Wang 002; Fikret Sivrikaya; Sahin Albayrak; Vito Walter Anelli (Int. J. Data Sci. Anal., 2023)

KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs. - Antonio Ferrara 001; Vito Walter Anelli; Alberto Carlo Maria Mancino; Tommaso Di Noia; Eugenio Di Sciascio (Trans. Recomm. Syst., 2023)

Beyond Words: Can ChatGPT Support State-of-the-Art Recommender Systems? - Dario Di Palma; Giovanni Servedio; Vito Walter Anelli; Giovanni Maria Biancofiore; Fedelucio Narducci; Leonarda Carnimeo; Tommaso Di Noia (IIR, 2024)

Unveiling the Potential of Recommender Systems through Multi-Objective Metrics. - Vincenzo Paparella; Dario Di Palma; Vito Walter Anelli; Alessandro De Bellis; Tommaso Di Noia (IIR, 2024)

Empowering Shilling Attacks with Katz and Exclusivity-based Relatedness. - Felice Antonio Merra; Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio (KaRS@RecSys, 2024)

Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. - Davide Abbattista; Vito Walter Anelli; Tommaso Di Noia; Craig MacDonald; Aleksandr Vladimirovich Petrov (RecSys, 2024)

Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). - Vito Walter Anelli; Antonio Ferrara 001; Cataldo Musto; Fedelucio Narducci; Azzurra Ragone; Markus Zanker (RecSys, 2024)

DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. - Antonio Ferrara 001; Marco Valentini; Paolo Masciullo; Antonio De Candia; Davide Abbattista; Riccardo Fusco; Claudio Pomo; Vito Walter Anelli; Giovanni Maria Biancofiore; Ludovico Boratto; Fedelucio Narducci (RecSys Challenge, 2024)

A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph. - Daniele Malitesta; Claudio Pomo; Vito Walter Anelli; Alberto Carlo Maria Mancino; Tommaso Di Noia; Eugenio Di Sciascio (RecSys, 2024)

PRONTO: Prompt-Based Detection of Semantic Containment Patterns in MLMs. - Alessandro De Bellis; Vito Walter Anelli; Tommaso Di Noia; Eugenio Di Sciascio (ISWC (2), 2024)

Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives. - Markus Schedl; Vito Walter Anelli; Elisabeth Lex (UMAP (Adjunct Publication), 2024)

Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends. - Vito Walter Anelli; Li Chen; Gerard de Melo; Julian J. McAuley; Fedelucio Narducci; Azzurra Ragone (User Model. User Adapt. Interact., 2024)

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing. - Dario Di Palma; Alessandro De Bellis; Giovanni Servedio; Vito Walter Anelli; Fedelucio Narducci; Tommaso Di Noia (ACL (1), 2025)

Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs. - Giovanni Servedio; Alessandro De Bellis; Dario Di Palma; Vito Walter Anelli; Tommaso Di Noia (ACL (1), 2025)

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M. - Dario Di Palma; Felice Antonio Merra; Maurizio Sfilio; Vito Walter Anelli; Fedelucio Narducci; Tommaso Di Noia (SIGIR, 2025)

Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency. - Potito Aghilar; Vito Walter Anelli; Andrea Lops; Fedelucio Narducci; Azzurra Ragone; Sabino Roccotelli; Michelantonio Trizio (UMAP, 2025)

Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems. - Salvatore Bufi; Vincenzo Paparella; Vito Walter Anelli; Tommaso Di Noia (UMAP, 2025)

Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT Recommendations. - Dario Di Palma; Giovanni Maria Biancofiore; Vito Walter Anelli; Fedelucio Narducci; Tommaso Di Noia (UMAP (Adjunct Publication), 2025)

Training-free, Identity-preserving Image Editing for Fashion Pose Alignment and Normalization. - Potito Aghilar; Vito Walter Anelli; Michelantonio Trizio; Eugenio Di Sciascio; Tommaso Di Noia (Expert Syst. Appl., 2025)

Training-Free Consistency Pipeline for Fashion Repose. - Potito Aghilar; Vito Walter Anelli; Michelantonio Trizio; Tommaso Di Noia (CoRR, 2025)

Balancing Accuracy and Novelty with Sub-Item Popularity. - Chiara Mallamaci; Aleksandr Vladimirovich Petrov; Alberto Carlo Maria Mancino; Vito Walter Anelli; Tommaso Di Noia; Craig Macdonald (CoRR, 2025)