Cataldo Musto
Orcid: 0000-0001-6089-928XAffiliations:
- University of Bari "Aldo Moro", Italy
According to our database1,
Cataldo Musto
authored at least 141 papers
between 2009 and 2024.
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Bibliography
2024
Recommender systems based on neuro-symbolic knowledge graph embeddings encoding first-order logic rules.
User Model. User Adapt. Interact., November, 2024
Harnessing distributional semantics to build context-aware justifications for recommender systems.
User Model. User Adapt. Interact., July, 2024
Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024.
SIGIR Forum, June, 2024
"Tell Me Why": using natural language justifications in a recipe recommender system to support healthier food choices.
User Model. User Adapt. Interact., April, 2024
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain.
J. Intell. Inf. Syst., April, 2024
Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024
Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks.
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings.
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024
Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Recommending Healthy and Sustainable Meals exploiting Food Retrieval and Large Language Models.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Keynote: Healthy and Sustainable Food Recommendations Exploiting Natural Language Processing and Large Language Models.
Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024
First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024).
Proceedings of the Advances in Information Retrieval, 2024
2023
ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems.
Inf. Syst., October, 2023
Virtual Customer Assistants in finance: From state of the art and practices to design guidelines.
Comput. Sci. Rev., February, 2023
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research).
Proceedings of the Italia Intelligenza Artificiale, 2023
2022
Dataset, December, 2022
Dataset, December, 2022
Proceedings of the Recommender Systems Handbook, 2022
CoRR, 2022
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe).
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
First Workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI 2022).
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022
Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations.
Proceedings of the Discussion Papers - 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), Udine, Italy, November 28, 2022
Narrative Recommendations based on Natural Language Preference Elicitation for a Virtual Assistant for the Movie Domain.
Proceedings of the Discussion Papers - 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), Udine, Italy, November 28, 2022
2021
Generating post hoc review-based natural language justifications for recommender systems.
User Model. User Adapt. Interact., 2021
MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services.
ACM Trans. Inf. Syst., 2021
Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021.
SIGIR Forum, 2021
Knowl. Based Syst., 2021
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021
Exploring the Effects of Natural Language Justifications in Food Recommender Systems.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021
Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the AIxIA 2021 Discussion Papers co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021
2020
User Model. User Adapt. Interact., 2020
Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis.
Behav. Inf. Technol., 2020
IEEE Access, 2020
Generating Recommendations From Multiple Data Sources: A Methodological Framework for System Design and Its Application.
IEEE Access, 2020
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020
Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems.
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020
Proceedings of the Workshop on Adapted intEraction with SociAl Robots, 2020
2019
Trends in content-based recommendation - Preface to the special issue on Recommender systems based on rich item descriptions.
User Model. User Adapt. Interact., 2019
Int. J. Hum. Comput. Stud., 2019
UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019
Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019
Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project.
Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019
Natural Language Justifications for Recommender Systems Exploiting Text Summarization and Sentiment Analysis.
Proceedings of the Discussion and Doctoral Consortium papers of AI*IA 2019, 2019
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019
Springer, ISBN: 978-3-030-05617-9, 2019
2018
TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning.
Inf. Syst. Frontiers, 2018
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018
Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Collaborative Recommendations, 2018
2017
SIGIR Forum, 2017
Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features.
Knowl. Based Syst., 2017
Inf. Process. Manag., 2017
A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017
A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017
A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data.
Proceedings of the Semantic Web - 14th International Conference, 2017
Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval, 2017
Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features.
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017
2016
Concept-based item representations for a cross-lingual content-based recommendation process.
Inf. Sci., 2016
Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016
Proceedings of the Advances in Information Retrieval, 2016
2015
Proceedings of the Recommender Systems Handbook, 2015
Inf. Syst., 2015
Inf. Process. Manag., 2015
A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems.
Intelligenza Artificiale, 2015
Personalized finance advisory through case-based recommender systems and diversification strategies.
Decis. Support Syst., 2015
A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015
Proceedings of the 1st International Workshop on Personalization & Recommender Systems in Financial Services, 2015
2014
Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014
Financial Product Recommendation through Case-based Reasoning and Diversification Techniques.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014
Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, 2014
Proceedings of the 5th Italian Information Retrieval Workshop, 2014
Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems.
Proceedings of the Semantic Web Evaluation Challenge, 2014
Proceedings of the 8th International Workshop on Information Filtering and Retrieval co-located with XIII AI*IA Symposium on Artificial Intelligence (AI*IA 2014), 2014
2013
Content-based and collaborative techniques for tag recommendation: an empirical evaluation.
J. Intell. Inf. Syst., 2013
Semantic technologies for industry: From knowledge modeling and integration to intelligent applications.
Intelligenza Artificiale, 2013
Intelligenza Artificiale, 2013
Proceedings of the User Modeling, Adaptation, and Personalization, 2013
Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists.
Proceedings of the 4th Italian Information Retrieval Workshop, 2013
Proceedings of the 4th Italian Information Retrieval Workshop, 2013
Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 14th International Conference, 2013
Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics.
Proceedings of the E-Commerce and Web Technologies - 14th International Conference, 2013
2012
ACM Journal on Computing and Cultural Heritage, 2012
Proceedings of the User Modeling, Adaptation, and Personalization, 2012
Proceedings of the 3rd Italian Information Retrieval Workshop, 2012
Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering.
Proceedings of the 3rd Italian Information Retrieval Workshop, 2012
Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012
2011
Leveraging the linkedin social network data for extracting content-based user profiles.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011
Proceedings of the 2nd Italian Information Retrieval (IIR) Workshop, 2011
Proceedings of the First Workshop on Personalised Multilingual Hypertext Retrieval, 2011
Random Indexing and Negative User Preferences for Enhancing Content-Based Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011
Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011
2010
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2010
Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage.
Proceedings of the Digital Libraries - 6th Italian Research Conference, 2010
Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010
Proceedings of the Artificial Intelligence: Methodology, 2010
Proceedings of the Preference Learning., 2010
2009
A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access.
Proceedings of the Web Personalization in Intelligent Environments, 2009
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009