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)

Enhanced vector space models for content-based recommender systems. - Cataldo Musto (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)

Random Indexing and Negative User Preferences for Enhancing Content-Based Recommender Systems. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (EC-Web, 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)

Random Indexing for Content-Based Recommender Systems. - Cataldo Musto; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (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)

Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (EC-Web, 2013)

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)

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)

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)

A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts. - Cataldo Musto; Giovanni Semeraro; Marco Polignano (DART@AI*IA, 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)

Linked Open Data-enabled Strategies for Top-N Recommendations. - Cataldo Musto; Pierpaolo Basile; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (CBRecSys@RecSys, 2014)

Financial Product Recommendation through Case-based Reasoning and Diversification Techniques. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis; Georgios Lekkas (RecSys Posters, 2014)

Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (UMAP, 2014)

Case-based Recommender Systems for Personalized Finance Advisory. - Cataldo Musto; Giovanni Semeraro (FINREC, 2015)

Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems. - Cataldo Musto; Pierpaolo Basile; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro; Simone Rutigliano (CBRecSys@RecSys, 2015)

Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. - Cataldo Musto; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (RecSys Posters, 2015)

Developing Smart Cities Services through Semantic Analysis of Social Streams. - Cataldo Musto; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (WWW (Companion Volume), 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)

Personalized finance advisory through case-based recommender systems and diversification strategies. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis; Georgios Lekkas (Decis. Support Syst., 2015)

A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems. - Cataldo Musto; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (Intelligenza Artificiale, 2015)

An investigation on the serendipity problem in recommender systems. - Marco de Gemmis; Pasquale Lops; Giovanni Semeraro; Cataldo Musto (Inf. Process. Manag., 2015)

CrowdPulse: A framework for real-time semantic analysis of social streams. - Cataldo Musto; Giovanni Semeraro; Pasquale Lops; Marco de Gemmis (Inf. Syst., 2015)

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

Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems. - Cataldo Musto; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (ECIR, 2016)

Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks. - Cataldo Musto; Claudio Greco 002; Alessandro Suglia; Giovanni Semeraro (IIR, 2016)

Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016). - Toine Bogers; Marijn Koolen; Cataldo Musto; Pasquale Lops; Giovanni Semeraro (RecSys, 2016)

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)

Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. - Cataldo Musto; Pasquale Lops; Pierpaolo Basile; Marco de Gemmis; Giovanni Semeraro (UMAP, 2016)

Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience. - Cataldo Musto; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (UMAP, 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)

Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features. - Cataldo Musto; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (AI*IA, 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)

Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data. - Cataldo Musto; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (ESWC (1), 2017)

A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews. - Cataldo Musto; Marco de Gemmis; Giovanni Semeraro; Pasquale Lops (RecSys, 2017)

UMAP 2017 THUM Workshop Chairs' Welcome & Organization. - Cataldo Musto; Amon Rapp; Veronika Bogina; Federica Cena; Frank Hopfgartner; Judy Kay; David Konopnicki; Tsvi Kuflik; Bamshad Mobasher; Giovanni Semeraro (UMAP (Adjunct Publication), 2017)

A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features. - Cataldo Musto; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (UMAP, 2017)

A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. - Alessandro Suglia; Claudio Greco 002; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP, 2017)

Introducing linked open data in graph-based recommender systems. - Cataldo Musto; Pierpaolo Basile; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (Inf. Process. Manag., 2017)

Report on RecSys 2016Workshop on New Trends in Content-Based Recommender Systems. - Toine Bogers; Marijn Koolen; Cataldo Musto; Pasquale Lops; Giovanni Semeraro (SIGIR Forum, 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)

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)

Towards a Conceptual Model for Holistic Recommendations. - Federica Cena; Amon Rapp; Cataldo Musto; Pasquale Lops (UMAP (Adjunct Publication), 2018)

Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data. - Cataldo Musto; Tiziano Franza; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (UMAP (Adjunct Publication), 2018)

UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs' Preface &Organization. - Cataldo Musto; Amon Rapp; Federica Cena; Frank Hopfgartner; Judy Kay; Giovanni Semeraro (UMAP (Adjunct Publication), 2018)

A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints. - Cataldo Musto; Giovanni Semeraro; Cosimo Lovascio; Marco de Gemmis; Pasquale Lops (UMAP (Adjunct Publication), 2018)

Myrror: a Platform for Quantified Self and Holistic User Modeling. - Cataldo Musto; Giovanni Semeraro; Cosimo Lovascio; Marco de Gemmis; Pasquale Lops (UMAP (Adjunct Publication), 2018)

Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features. - Cataldo Musto; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (WWW (Companion Volume), 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)

Hybrid Semantics-Aware Recommendations Exploiting Knowledge Graph Embeddings. - Cataldo Musto; Pierpaolo Basile; Giovanni Semeraro (AI*IA, 2019)

Natural Language Justifications for Recommender Systems Exploiting Text Summarization and Sentiment Analysis. - Cataldo Musto; Gaetano Rossiello; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (DDC@AI*IA, 2019)

Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project. - Arthur T. E. Capozzi; Mirko Lai; Valerio Basile; Cataldo Musto; Marco Polignano; Fabio Poletto; Manuela Sanguinetti; Cristina Bosco; Viviana Patti; Giancarlo Ruffo; Giovanni Semeraro; Marco Stranisci (CLiC-it, 2019)

HateChecker: a Tool to Automatically Detect Hater Users in Online Social Networks. - Cataldo Musto; Angelo Sansonetti; Marco Polignano; Giovanni Semeraro; Marco Stranisci (CLiC-it, 2019)

Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations. - Cataldo Musto; Gaetano Rossiello; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2019)

Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpedia. - Cataldo Musto; Pierpaolo Basile; Giovanni Semeraro (UMAP (Adjunct Publication), 2019)

Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. - Cataldo Musto; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (UMAP, 2019)

UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization. - Cataldo Musto; Amon Rapp; Federica Cena; Frank Hopfgartner; Judy Kay; Aonghus Lawlor; Pasquale Lops; Giovanni Semeraro; Nava Tintarev (UMAP (Adjunct Publication), 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)

Trends in content-based recommendation - Preface to the special issue on Recommender systems based on rich item descriptions. - Pasquale Lops; Dietmar Jannach; Cataldo Musto; Toine Bogers; Marijn Koolen (User Model. User Adapt. Interact., 2019)

Towards a Social Robot as Interface for Tourism Recommendations. - Berardina Nadja De Carolis; Pasquale Lops; Cataldo Musto; Giovanni Semeraro (cAESAR, 2020)

Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. - Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (CLiC-it, 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)

UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2020)

Workshop on Explainable User Models and Personalized Systems (ExUM 2020). - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP, 2020)

Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models. - Cataldo Musto; Christoph Trattner; Alain Starke; Giovanni Semeraro (UMAP, 2020)

Generating Recommendations From Multiple Data Sources: A Methodological Framework for System Design and Its Application. - Federica Cena; Amon Rapp; Cataldo Musto; Giovanni Semeraro (IEEE Access, 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)

Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis. - Vittorio Lingiardi; Nicola Carone; Giovanni Semeraro; Cataldo Musto; Marilisa D'amico; Silvia Brena (Behav. Inf. Technol., 2020)

Myrror: a platform for holistic user modeling. - Cataldo Musto; Marco Polignano; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (User Model. User Adapt. Interact., 2020)

Fairness and Popularity Bias in Recommender Systems: an Empirical Evaluation. - Cataldo Musto; Pasquale Lops; Giovanni Semeraro (DP@AI*IA, 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)

Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations. - Marco Polignano; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2021)

Towards a New generation of Personalized Intelligent Conversational Agents. - Iris Hendrickx; Federica Cena; Erkan Basar; Luigi Di Caro; Florian Kunneman; Elena Musi; Cataldo Musto; Amon Rapp; Jelte van Waterschoot (UMAP (Adjunct Publication), 2021)

Exploring the Effects of Natural Language Justifications in Food Recommender Systems. - Cataldo Musto; Alain D. Starke; Christoph Trattner; Amon Rapp; Giovanni Semeraro (UMAP, 2021)

Workshop on Explainable User Models and Personalized Systems (ExUM 2021). - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2021)

Context-aware graph-based recommendations exploiting Personalized PageRank. - Cataldo Musto; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (Knowl. Based Syst., 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)

Generating post hoc review-based natural language justifications for recommender systems. - Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (User Model. User Adapt. Interact., 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)

Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations. - Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (DP@AI*IA, 2022)

First Workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI 2022). - Erasmo Purificato; Cataldo Musto; Pasquale Lops; Ernesto William De Luca (IUI Companion, 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)

FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. - Toine Bogers; Cataldo Musto; David (Xuejun) Wang; Alexander Felfernig; Simone Borg Bruun; Giovanni Semeraro; Yong Zheng 001 (RecSys, 2022)

Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. - Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2022)

Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe). - Pasquale Lops; Cataldo Musto; Marco Polignano (UMAP, 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)

Workshop on Explainable User Models and Personalised Systems (ExUM). - Cataldo Musto; Amra Delic; Oana Inel; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2022)

Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations. - Marco Polignano; Giuseppe Colavito; Cataldo Musto; Marco de Gemmis; Giovanni Semeraro (UMAP (Adjunct Publication), 2022)

The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers. - Marco Antonio Stranisci; Giuseppe Spillo; Cataldo Musto; Viviana Patti; Rossana Damiano (CoRR, 2022)

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

The URW-KG: a Resource for Tackling the Under-Representation of non-Western Writers. - Marco Antonio Stranisci; Giuseppe Spillo; Cataldo Musto; Viviana Patti; Rossana Damiano (Zenodo, 2022)

The URW-KG: a Resource for Tackling the Under-Representation of non-Western Writers. - Marco Antonio Stranisci; Giuseppe Spillo; Cataldo Musto; Viviana Patti; Rossana Damiano (Zenodo, 2022)

Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research). - Pierluigi Amodio; Lucia Siciliani; Linda Antonella Antonucci; Cristiano Tamborrino; Pierpaolo Basile; Paolo Taurisano; Marco de Gemmis; Felice Iavernaro; Pasquale Lops; Francesca Mazzia; Cataldo Musto; Marco Polignano; et al. (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)

Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. - Pasquale Lops; Elio Musacchio; Cataldo Musto; Marco Polignano; Antonio Silletti; Giovanni Semeraro (RecSys, 2023)

Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint. - Giuseppe Spillo; Allegra De Filippo; Cataldo Musto; Michela Milano; Giovanni Semeraro (RecSys, 2023)

Accountable Knowledge-aware Recommender Systems. - Pasquale Lops; Cataldo Musto; Marco Polignano (UMAP, 2023)

5th Workshop on Explainable User Models and Personalised Systems (ExUM). - Cataldo Musto; Amra Delic; Oana Inel; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2023)

Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. - Giuseppe Spillo; Cataldo Musto; Marco Polignano; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (UMAP, 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)

ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems. - Pasquale Lops; Marco Polignano; Cataldo Musto; Antonio Silletti; Giovanni Semeraro (Inf. Syst., 2023)

First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). - Ludovico Boratto; Daniele Malitesta; Mirko Marras; Giacomo Medda; Cataldo Musto; Erasmo Purificato (ECIR (5), 2024)

Keynote: Healthy and Sustainable Food Recommendations Exploiting Natural Language Processing and Large Language Models. - Cataldo Musto (HealthRecSys@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)

Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm. - Pasquale Lops; Antonio Silletti; Marco Polignano; Cataldo Musto; Giovanni Semeraro (RecSys, 2024)

Recommending Healthy and Sustainable Meals exploiting Food Retrieval and Large Language Models. - Alessandro Petruzzelli; Cataldo Musto; Michele Ciro Di Carlo; Giovanni Tempesta; Giovanni Semeraro (RecSys, 2024)

Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations. - Alessandro Petruzzelli; Cataldo Musto; Lucrezia Laraspata; Ivan Rinaldi; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2024)

Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances. - Giuseppe Spillo; Allegra De Filippo; Cataldo Musto; Michela Milano; Giovanni Semeraro (RecSys, 2024)

HeASe: An AI-powered Framework to Promote Healthy and Sustainable Eating. - Alessandro Petruzzelli; Cataldo Musto; Michele Ciro Di Carlo; Giovanni Tempesta; Giovanni Semeraro (STAI@IJCAI, 2024)

Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. - Alessandro Petruzzelli; Alessandro Francesco Maria Martina; Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP, 2024)

ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems. - Marco Polignano; Cataldo Musto; Amra Delic; Oana Inel; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2024)

Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. - Giuseppe Spillo; Francesco Bottalico; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP, 2024)

XAI.it 2024: An Overview on the Future of AI in the Era of Large Language Models. - Marco Polignano; Cataldo Musto; Roberto Pellungrini; Erasmo Purificato; Giovanni Semeraro; Mattia Setzu (XAI.it@AI*IA, 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)

"Tell Me Why": using natural language justifications in a recipe recommender system to support healthier food choices. - Alain D. Starke; Cataldo Musto; Amon Rapp; Giovanni Semeraro; Christoph Trattner (User Model. User Adapt. Interact., 2024)

Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024. - Ludovico Boratto; Daniele Malitesta; Mirko Marras; Giacomo Medda; Cataldo Musto; Erasmo Purificato (SIGIR Forum, 2024)

Harnessing distributional semantics to build context-aware justifications for recommender systems. - Cataldo Musto; Giuseppe Spillo; Giovanni Semeraro (User Model. User Adapt. Interact., 2024)

Recommender systems based on neuro-symbolic knowledge graph embeddings encoding first-order logic rules. - Giuseppe Spillo; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (User Model. User Adapt. Interact., 2024)

DistillRecDial: A Knowledge-Distilled Dataset Capturing User Diversity in Conversational Recommendation. - Alessandro Francesco Maria Martina; Alessandro Petruzzelli; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2025)

See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm-2K, and DBbook with Multimodal Data. - Giuseppe Spillo; Elio Musacchio; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2025)

7th Workshop on Explainable User Models and Personalised Systems (ExUM 2025). - Cataldo Musto; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2025)

PHaSE Project - Promoting Healthy and Sustainable Eating through Interactive and Explainable AI Methods. - Cataldo Musto; Amon Rapp; Ludovico Boratto (UMAP (Adjunct Publication), 2025)

Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques. - Alessandro Petruzzelli; Cataldo Musto; Marco de Gemmis; Giovanni Semeraro; Pasquale Lops (UMAP, 2025)

GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems. - Giuseppe Spillo; Cataldo Musto; Matteo Mannavola; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP, 2025)

See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm 2K, and DBBook with multimodal Data. - Giuseppe Spillo; Elio Musacchio; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (Zenodo, 2025)

Comparing data reduction strategies for energy-efficient green recommender systems. - Giuseppe Spillo; Allegra De Filippo; Cataldo Musto; Michela Milano; Giovanni Semeraro (J. Intell. Inf. Syst., 2025)