Content-Based Personalization Services Integrating Folksonomies. - Cataldo Musto; Fedelucio Narducci; Pasquale Lops; Marco Degemmis; Giovanni Semeraro (EC-Web, 2009)

Content-Based Filtering with Tags: The FIRSt System. - Pasquale Lops; Marco de Gemmis; Giovanni Semeraro; Paolo Gissi; Cataldo Musto; Fedelucio Narducci (ISDA, 2009)

STaR: a Social Tag Recommender System. - Cataldo Musto; Fedelucio Narducci; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (DC@PKDD/ECML, 2009)

SpIteR: A Module for Recommending Dynamic Personalized Museum Tours. - Pierpaolo Basile; Marco de Gemmis; Leo Iaquinta; Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro (Web Intelligence, 2009)

A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access. - Pasquale Lops; Marco de Gemmis; Giovanni Semeraro; Cataldo Musto; Fedelucio Narducci; Massimo Bux (Web Personalization in Intelligent Environments, 2009)

Learning Preference Models in Recommender Systems. - Marco de Gemmis; Leo Iaquinta; Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro (Preference Learning, 2010)

Cross-Language Personalization through a Semantic Content-Based Recommender System. - Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Marco de Gemmis; Pierpaolo Basile; Giovanni Semeraro (AIMSA, 2010)

Combining Collaborative and Content-Based Techniques for Tag Recommendation. - Cataldo Musto; Fedelucio Narducci; Pasquale Lops; Marco de Gemmis (EC-Web, 2010)

An IR-Based Approach for Tag Recommendation. - Cataldo Musto; Fedelucio Narducci; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (IIR, 2010)

Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage. - Cataldo Musto; Fedelucio Narducci; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (IRCDL, 2010)

MARS: a MultilAnguage Recommender System. - Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Marco de Gemmis; Pierpaolo Basile; Giovanni Semeraro (HetRec@RecSys, 2010)

Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models. - Cataldo Musto; Fedelucio Narducci; Pierpaolo Basile; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (AI*IA, 2011)

Learning semantic content-based profiles for cross-language recommendations. - Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Marco de Gemmis; Pierpaolo Basile; Giovanni Semeraro (PMHR@HT, 2011)

Explicit Semantic Analysis for Enriching Content-Based User Profiles. - Fedelucio Narducci; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (IIR, 2011)

Leveraging the linkedin social network data for extracting content-based user profiles. - Pasquale Lops; Marco de Gemmis; Giovanni Semeraro; Fedelucio Narducci; Cataldo Musto (RecSys, 2011)

Leveraging Social Media Sources to Generate Personalized Music Playlists. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis; Fedelucio Narducci (EC-Web, 2012)

Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering. - Cataldo Musto; Fedelucio Narducci; Pierpaolo Basile; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (IIR, 2012)

TV-Show Retrieval and Classification. - Cataldo Musto; Fedelucio Narducci; Pasquale Lops; Giovanni Semeraro; Marco de Gemmis; Mauro Barbieri; Jan H. M. Korst; Verus Pronk; Ramon Clout (IIR, 2012)

Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides. - Cataldo Musto; Fedelucio Narducci; Pasquale Lops; Giovanni Semeraro; Marco de Gemmis; Mauro Barbieri; Jan H. M. Korst; Verus Pronk; Ramon Clout (UMAP, 2012)

A folksonomy-based recommender system for personalized access to digital artworks. - Giovanni Semeraro; Pasquale Lops; Marco de Gemmis; Cataldo Musto; Fedelucio Narducci (ACM Journal on Computing and Cultural Heritage, 2012)

Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems. - Fedelucio Narducci; Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (EC-Web, 2013)

Cross-language Semantic Matching for Discovering Links to e-gov Services in the LOD Cloud. - Fedelucio Narducci; Matteo Palmonari; Giovanni Semeraro (KNOW@LOD, 2013)

Myusic: a Content-based Music Recommender System based on eVSM and Social Media. - Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (IIR, 2013)

Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists. - Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (IIR, 2013)

Cross-Language Semantic Retrieval and Linking of E-Gov Services. - Fedelucio Narducci; Matteo Palmonari; Giovanni Semeraro (ISWC (2), 2013)

Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles. - Fedelucio Narducci; Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (UMAP, 2013)

The contribution of AI to enhance understanding of Cultural Heritage. - Luciana Bordoni; Liliana Ardissono; Juan A. Barceló 001; Antonio Chella; Marco de Gemmis; Cristina Gena; Leo Iaquinta; Pasquale Lops; Francesco Mele; Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro; et al. (Intelligenza Artificiale, 2013)

Semantic technologies for industry: From knowledge modeling and integration to intelligent applications. - Giovanni Semeraro; Pierpaolo Basile; Roberto Basili 001; Marco de Gemmis; Chiara Ghidini; Maurizio Lenzerini; Pasquale Lops; Alessandro Moschitti; Cataldo Musto; Fedelucio Narducci; Arianna Pipitone; Roberto Pirrone; et al. (Intelligenza Artificiale, 2013)

Content-based and collaborative techniques for tag recommendation: an empirical evaluation. - Pasquale Lops; Marco de Gemmis; Giovanni Semeraro; Cataldo Musto; Fedelucio Narducci (J. Intell. Inf. Syst., 2013)

CroSeR: Cross-language Semantic Retrieval of Open Government Data. - Fedelucio Narducci; Matteo Palmonari; Giovanni Semeraro (ECIR, 2014)

Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems. - Pierpaolo Basile; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Fedelucio Narducci; Giovanni Semeraro (SemWebEval@ESWC, 2014)

Developing a Semantic Content Analyzer for L'Aquila Social Urban Network. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis; Fedelucio Narducci; Luciana Bordoni; Mauro Annunziato; Claudia Meloni; Franco F. Orsucci; Giulia Paoloni (IIR, 2014)

UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Linking Entities in Tweets. - Pierpaolo Basile; Annalina Caputo; Giovanni Semeraro; Fedelucio Narducci (#MSM, 2015)

A General Architecture for an Emotion-aware Content-based Recommender System. - Fedelucio Narducci; Marco de Gemmis; Pasquale Lops (EMPIRE@RecSys, 2015)

A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network. - Fedelucio Narducci; Cataldo Musto; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (WWW (Companion Volume), 2015)

Semantics-Aware Content-Based Recommender Systems. - Marco de Gemmis; Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro (Recommender Systems Handbook, 2015)

ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud. - Cataldo Musto; Fedelucio Narducci; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (RecSys, 2016)

T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference. - Fedelucio Narducci; Pierpaolo Basile; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (RecSys, 2016)

A similarity-based framework for service repository integration. - Fedelucio Narducci; Marco Comerio; Carlo Batini; Marco Castelli (Data Knowl. Eng., 2016)

Concept-based item representations for a cross-lingual content-based recommendation process. - Fedelucio Narducci; Pierpaolo Basile; Cataldo Musto; Pasquale Lops; Annalina Caputo; Marco de Gemmis; Leo Iaquinta; Giovanni Semeraro (Inf. Sci., 2016)

Do You Feel Blue? Detection of Negative Feeling from Social Media. - Marco Polignano; Marco de Gemmis; Fedelucio Narducci; Giovanni Semeraro (AI*IA, 2017)

Temporal Semantic Analysis of Conference Proceedings. - Fedelucio Narducci; Pierpaolo Basile; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (ECIR, 2017)

Recommending Doctors and Health Facilities in the HealthNet Social Network. - Fedelucio Narducci; Cataldo Musto; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (SoMePeAS@ECIR, 2017)

Recommender Systems in the Internet of Talking Things (IoTT). - Fedelucio Narducci; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys Posters, 2017)

Power to the patients: The HealthNetsocial network. - Fedelucio Narducci; Pasquale Lops; Giovanni Semeraro (Inf. Syst., 2017)

Cross-lingual link discovery with TR-ESA. - Fedelucio Narducci; Matteo Palmonari; Giovanni Semeraro (Inf. Sci., 2017)

Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering. - Pasquale Lops; Fedelucio Narducci; Cataldo Musto; Marco de Gemmis; Marco Polignano; Giovanni Semeraro (Collaborative Recommendations, 2018)

Improving the User Experience with a Conversational Recommender System. - Fedelucio Narducci; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (AI*IA, 2018)

A Framework for Building Chat-based Recommender Systems. - Fedelucio Narducci; Pierpaolo Basile; Andrea Iovine; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (CIKM Workshops, 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)

A Domain-independent Framework for building Conversational Recommender Systems. - Fedelucio Narducci; Pierpaolo Basile; Andrea Iovine; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (KaRS@RecSys, 2018)

TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning. - Fedelucio Narducci; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (Inf. Syst. Frontiers, 2018)

Semantics in Adaptive and Personalised Systems - Methods, Tools and Applications - Pasquale Lops; Cataldo Musto; Fedelucio Narducci; Giovanni Semeraro (Springer, 2019)

A Dataset of Real Dialogues for Conversational Recommender Systems. - Andrea Iovine; Fedelucio Narducci; Marco de Gemmis (CLiC-it, 2019)

Linked open data-based explanations for transparent recommender systems. - Cataldo Musto; Fedelucio Narducci; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (Int. J. Hum. Comput. Stud., 2019)

GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration. - Vito Bellini; Giovanni Maria Biancofiore; Tommaso Di Noia; Eugenio Di Sciascio; Fedelucio Narducci; Claudio Pomo (EAIS, 2020)

Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. - Andrea Iovine; Fedelucio Narducci; Marco de Gemmis; Giovanni Semeraro (EAIS, 2020)

A Virtual Customer Assistant for the Wealth Management domain in the UWMP project. - Andrea Iovine; Marco de Gemmis; Fedelucio Narducci; Giovanni Semeraro; Doriana Filisetti; Davide Ingoglia; Georgios Lekkas (HAI-GEN+user2agent@IUI, 2020)

A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems. - Andrea Iovine; Fedelucio Narducci; Marco de Gemmis; Marco Polignano; Pierpaolo Basile; Giovanni Semeraro (IntRS@RecSys, 2020)

Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling. - Cataldo Musto; Fedelucio Narducci; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP (Adjunct Publication), 2020)

HealthAssistantBot: A Personal Health Assistant for the Italian Language. - Marco Polignano; Fedelucio Narducci; Andrea Iovine; Cataldo Musto; Marco de Gemmis; Giovanni Semeraro (IEEE Access, 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)

Conversational Recommender Systems and natural language: : A study through the ConveRSE framework. - Andrea Iovine; Fedelucio Narducci; Giovanni Semeraro (Decis. Support Syst., 2020)

An investigation on the user interaction modes of conversational recommender systems for the music domain. - Fedelucio Narducci; Pierpaolo Basile; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (User Model. User Adapt. Interact., 2020)

Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems. - Giandomenico Cornacchia; Francesco M. Donini; Fedelucio Narducci; Claudio Pomo; Azzurra Ragone (CAiSE Workshops, 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)

GUapp: Enhancing Job Recommendations with Knowledge Graphs. - Giovanni Maria Biancofiore; Tommaso Di Noia; Eugenio Di Sciascio; Fedelucio Narducci; Paolo Pastore (IIR, 2021)

An Investigation on the Impact of Natural Language on Conversational Recommendations. - Andrea Iovine; Fedelucio Narducci; Marco de Gemmis; Giovanni Semeraro (IIR, 2021)

Improving the User Experience and the Trustworthiness of Financial Services. - Giandomenico Cornacchia; Fedelucio Narducci; Azzurra Ragone (INTERACT (5), 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)

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)

GUApp: a Knowledge-aware Conversational Agent for Job Recommendation (Short paper). - Giovanni Maria Biancofiore; Tommaso Di Noia; Eugenio Di Sciascio; Fedelucio Narducci; Paolo Pastore (KaRS/ComplexRec@RecSys, 2021)

A General Model for Fair and Explainable Recommendation in the Loan Domain (Short paper). - Giandomenico Cornacchia; Fedelucio Narducci; Azzurra Ragone (KaRS/ComplexRec@RecSys, 2021)

A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper). - Paolo Pastore; Andrea Iovine; Fedelucio Narducci; Giovanni Semeraro (KaRS/ComplexRec@RecSys, 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)

Improving preference elicitation in a conversational recommender system with active learning strategies. - Andrea Iovine; Pasquale Lops; Fedelucio Narducci; Marco de Gemmis; Giovanni Semeraro (SAC, 2021)

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

Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors. - Marco Polignano; Fedelucio Narducci; Marco de Gemmis; Giovanni Semeraro (Expert Syst. Appl., 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)

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services. - Cataldo Musto; Fedelucio Narducci; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (ACM Trans. Inf. Syst., 2021)

Narrative Recommendations based on Natural Language Preference Elicitation for a Virtual Assistant for the Movie Domain. - Alessandro Francesco Maria Martina; Cataldo Musto; Andrea Iovine; Marco de Gemmis; Fedelucio Narducci; Giovanni Semeraro (DP@AI*IA, 2022)

Towards a theoretical formalization of conversational recommendation. - Tommaso Di Noia; Francesco Maria Donini; Dietmar Jannach; Fedelucio Narducci; Claudio Pomo (CIKM Workshops, 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)

Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. - Giovanni Castiglia; Ayoub El Majjodi; Federica Calò; Yashar Deldjoo; Fedelucio Narducci; Alain Starke; Christoph Trattner (KaRS@RecSys, 2022)

Aspect based sentiment analysis in music: a case study with spotify. - Giovanni Maria Biancofiore; Tommaso Di Noia; Eugenio Di Sciascio; Fedelucio Narducci; Paolo Pastore (SAC, 2022)

Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition. - Carmelo Ardito; Ilaria Bortone; Tommaso Colafiglio; Tommaso Di Noia; Eugenio Di Sciascio; Domenico Lofù; Fedelucio Narducci; Rodolfo Sardone; Paolo Sorino (SMC, 2022)

An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy. - Fabio Castellana; Simona Aresta; Paolo Sorino; Ilaria Bortone; Domenico Lofù; Fedelucio Narducci; Tommaso Di Noia; Eugenio Di Sciascio; Rodolfo Sardone (SMC, 2022)

A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies. - Alessandro Francesco Maria Martina; Cataldo Musto; Andrea Iovine; Marco de Gemmis; Fedelucio Narducci; Giovanni Semeraro (UMAP (Adjunct Publication), 2022)

Conversational recommendation: Theoretical model and complexity analysis. - Tommaso Di Noia; Francesco Maria Donini; Dietmar Jannach; Fedelucio Narducci; Claudio Pomo (Inf. Sci., 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)

An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system. - Andrea Iovine; Pasquale Lops; Fedelucio Narducci; Marco de Gemmis; Giovanni Semeraro (J. Intell. Inf. Syst., 2022)

Semantics and Content-Based Recommendations. - Cataldo Musto; Marco de Gemmis; Pasquale Lops; Fedelucio Narducci; Giovanni Semeraro (Recommender Systems Handbook, 2022)

Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. - Angela Lombardi; Maria Luigia Natalia De Bonis; Giuseppe Fasano; Alessia Sportelli; Tommaso Colafiglio; Domenico Lofù; Paolo Sorino; Fedelucio Narducci; Eugenio Di Sciascio; Tommaso Di Noia (CLEF (Working Notes), 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)

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

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)

Combining Mental States Recognition and Machine Learning for Neurorehabilitation. - Tommaso Colafiglio; Paolo Sorino; Domenico Lofù; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (SMC, 2023)

A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction. - Paolo Sorino; Vincenzo Paparella; Domenico Lofù; Tommaso Colafiglio; Eugenio Di Sciascio; Fedelucio Narducci; Rodolfo Sardone; Tommaso Di Noia (SMC, 2023)

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

MAFUS: a Framework to predict mortality risk in MAFLD subjects. - Domenico Lofù; Paolo Sorino; Tommaso Colafiglio; Caterina Bonfiglio; Fedelucio Narducci; Tommaso Di Noia; Eugenio Di Sciascio (CoRR, 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)

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)

Virtual Customer Assistants in finance: From state of the art and practices to design guidelines. - Andrea Iovine; Fedelucio Narducci; Cataldo Musto; Marco de Gemmis; Giovanni Semeraro (Comput. Sci. Rev., 2023)

Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface. - Carmelo Ardito; Tommaso Colafiglio; Tommaso Di Noia; Angela Lombardi; Domenico Lofù; Fedelucio Narducci; Paolo Sorino (ICWE Workshops, 2024)

The CAMEO Project: A Holistic View for Conversational Agents. - Tommaso Di Noia; Guglielmo Faggioli; Marco Ferrante; Nicola Ferro 001; Fedelucio Narducci; Raffaele Perego 001; Giuseppe Santucci (IIR, 2024)

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)

AgoneTest: Automated creation and assessment of Unit tests leveraging Large Language Models. - Andrea Lops; Fedelucio Narducci; Azzurra Ragone; Michelantonio Trizio (ASE, 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)

CAMEO: Fostering Joint Conversational Search and Recommendation. - Tommaso Di Noia; Guglielmo Faggioli; Marco Ferrante; Nicola Ferro 001; Fedelucio Narducci; Raffaele Perego 001; Giuseppe Santucci (SEBD, 2024)

An Explainable Machine Learning Approach for Heartbeat Classification Through Signal-Based Features. - Paolo Sorino; Gianluca Colonna; Domenico Lofù; Tommaso Colafiglio; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (SMC, 2024)

EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface. - Tommaso Colafiglio; Domenico Lofù; Paolo Sorino; Angela Lombardi; Fedelucio Narducci; Fabrizio Festa; Tommaso Di Noia (UMAP (Adjunct Publication), 2024)

Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM). - Tommaso Colafiglio; Tommaso Di Noia; Domenico Lofù; Angela Lombardi; Fedelucio Narducci; Paolo Sorino (UMAP (Adjunct Publication), 2024)

ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation. - Paolo Sorino; Giovanni Maria Biancofiore; Domenico Lofù; Tommaso Colafiglio; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (UMAP (Adjunct Publication), 2024)

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. - Tommaso Colafiglio; Angela Lombardi; Paolo Sorino; Elvira Brattico; Domenico Lofù; Danilo Danese; Eugenio Di Sciascio; Tommaso Di Noia; Fedelucio Narducci (IEEE Access, 2024)

Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain. - Cataldo Musto; Alessandro Francesco Maria Martina; Andrea Iovine; Fedelucio Narducci; Marco de Gemmis; Giovanni Semeraro (J. Intell. Inf. Syst., 2024)

Interactive Question Answering Systems: Literature Review. - Giovanni Maria Biancofiore; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Fedelucio Narducci (ACM Comput. Surv., 2024)

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. - Tommaso Colafiglio; Angela Lombardi; Paolo Sorino; Elvira Brattico; Domenico Lofù; Danilo Danese; Eugenio Di Sciascio; Tommaso Di Noia; Fedelucio Narducci (Zenodo, 2024)

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. - Tommaso Colafiglio; Angela Lombardi; Paolo Sorino; Elvira Brattico; Domenico Lofù; Danilo Danese; Eugenio Di Sciascio; Tommaso Di Noia; Fedelucio Narducci (Zenodo, 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)

A System for Automated Unit Test Generation using Large Language Models and Assessment of Generated Test Suites. - Andrea Lops; Fedelucio Narducci; Azzurra Ragone; Michelantonio Trizio; Claudio Bartolini (ICSTW, 2025)

CoSRec: A Joint Conversational Search and Recommendation Dataset. - Marco Alessio; Simone Merlo; Tommaso Di Noia; Guglielmo Faggioli; Marco Ferrante; Nicola Ferro 001; Cristina Ioana Muntean; Franco Maria Nardini; Fedelucio Narducci; Raffaele Perego 001; Giuseppe Santucci; Nicola Viterbo (SIGIR, 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)

Neural Musical Instruments through Brain-Computer Interface and Biofeedback. - Tommaso Colafiglio; Domenico Lofù; Paolo Sorino; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (UMAP (Adjunct Publication), 2025)

WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling. - Domenico Lofù; Paolo Sorino; Tommaso Colafiglio; Angela Lombardi; Tommaso Di Noia; Fedelucio Narducci (UMAP (Adjunct Publication), 2025)

Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy Generation. - Andrea Lops; Fedelucio Narducci; Azzurra Ragone; Michelantonio Trizio (UMAP, 2025)

Enhancing News Recommendation Systems Using Multitask Learning. - Paolo Masciullo; Andrea Pazienza; Claudio Pomo; Fedelucio Narducci; Tommaso Di Noia (UMAP (Adjunct Publication), 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)

From Overall Sentiment to Aspect-Level Insights: A Pretraining Strategy for Unsupervised Aspect-based Sentiment Analysis. - Simone Prete; Giovanni Maria Biancofiore; Fedelucio Narducci; Eugenio Di Sciascio; Tommaso Di Noia (UMAP (Adjunct Publication), 2025)

Explainable Sentiment Analysis through Counterfactual Reasoning. - Simone Prete; Giovanni Maria Biancofiore; Fedelucio Narducci; Eugenio Di Sciascio; Tommaso Di Noia (UMAP (Adjunct Publication), 2025)

Machine learning classification of motivational states: Insights from EEG analysis of perception and imagery. - Tommaso Colafiglio; Angela Lombardi; Tommaso Di Noia; Maria Luigia Natalia De Bonis; Fedelucio Narducci; Alice Mado Proverbio (Expert Syst. Appl., 2025)

Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation. - Claudio Pomo; Matteo Attimonelli; Danilo Danese; Fedelucio Narducci; Tommaso Di Noia (CoRR, 2025)

Detecting label noise in longitudinal Alzheimer's data with explainable artificial intelligence. - Paolo Sorino; Angela Lombardi; Domenico Lofù; Tommaso Colafiglio; Antonio Ferrara 001; Fedelucio Narducci; Eugenio Di Sciascio; Tommaso Di Noia (Brain Informatics, 2025)