Marco de Gemmis

211 papers A* 1A 41C 3Misc 2Journal 36Unranked 100

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M. CoRR Giuseppe Spillo, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025	—	`conf`	Beyond Homogeneous Users: Simulating Diverse User Personas for Conversational Recommendation Datasets. IIR Alessandro Francesco Maria Martina, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025	—	`conf`	Cyber Social Security (CSS): A Lens on Methods for Extraction of Social Sensor Data. WWDD@IS-EUD Valentina Antoniol, Fabiana Battista, Paolo Buono, Danilo Caivano, Gabriella Calvano, Giuseppe Campesi, Giuseppe Cascione, Antonietta Curci, Marco de Gemmis, Vincenzo Gattulli, Roberto La Scala, Rosa Scardigno, Annita Larissa Sciacovelli, Alessandro Senaldi, Patrizia Sorianello, Vincenzo Tamburrano
2025	A	`conf`	DistillRecDial: A Knowledge-Distilled Dataset Capturing User Diversity in Conversational Recommendation. RecSys Alessandro Francesco Maria Martina, Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025	A	`conf`	Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques. UMAP Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops
2025	A	`conf`	GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems. UMAP Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025	—	`conf`	Graph Augmentation with LLMs for Knowledge-Aware Recommender Systems. IIR Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025	—	`conf`	Knowledge is Power: Boosting Recommender Systems by Infusing LLMs with Domain Expertise. IIR Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2025	A	`ed.`	Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025 RecSys Mária Bieliková, Pavel Kordík, Markus Schedl, Marco de Gemmis, Sole Pera, Rodrigo Alves, Olivier Jeunen, Vito Ostuni
2025	—	`conf`	Security and Rights in CyberSpace: Cyber Social Security. COL-SAI Valentina Antoniol, Vita Santa Barletta, Fabiana Battista, Paolo Buono, Danilo Caivano, Giuseppe Campesi, Giuseppe Cascione, Antonietta Curci, Marco de Gemmis, Vincenzo Gattulli, Rosa Scardigno, Annita Larissa Sciacovelli, Patrizia Sorianello, Vincenzo Tamburrano
2025	A	`conf`	See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm-2K, and DBbook with Multimodal Data. RecSys Giuseppe Spillo, Elio Musacchio, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024	A	`conf`	11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24). RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2024	—	`conf`	Adapting a Large Language Model to the Legal Domain: A Case Study in Italian. NL4AI@AI*IA Flavio Valerio, Pierpaolo Basile, Marco de Gemmis
2024	—	`conf`	Cyber Social Security Education. XR (4) Vita Santa Barletta, Danilo Caivano, Christian Catalano, Marco de Gemmis, Donato Impedovo
2024	A	`conf`	Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. UMAP Giuseppe Spillo, Francesco Bottalico, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024	—	`conf`	Explaining Intimate Partner Violence with LLaMAntino. Ital-IA Pierpaolo Basile, Marco de Gemmis, Elio Musacchio, Marco Polignano, Giovanni Semeraro, Lucia Siciliani, Vincenzo Tamburrano, Vita Santa Barletta, Danilo Caivano, Fabiana Battista, Antonietta Curci, Rosa Scardigno, Gabriella Calvano, Patrizia Sorianello
2024	A	`conf`	Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. UMAP Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024	A	`conf`	Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations. RecSys Alessandro Petruzzelli, Cataldo Musto, Lucrezia Laraspata, Ivan Rinaldi, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024	—	`ed.`	Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), Hybrid Event, Bari, Italy, October 18, 2024. IntRS@RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2024	J	`jnl`	Recommender systems based on neuro-symbolic knowledge graph embeddings encoding first-order logic rules. User Model. User Adapt. Interact. Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2024	J	`jnl`	Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain. J. Intell. Inf. Syst. Cataldo Musto, Alessandro Francesco Maria Martina, Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
2024	—	`conf`	Unraveling the Enigma of SPLIT in Large-Language Models: The Unforeseen Impact of System Prompts on LLMs with Dissociative Identity Disorder. CLiC-it Marco Polignano, Marco de Gemmis, Giovanni Semeraro
2023	A	`conf`	10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2023	J	`jnl`	An AI framework to support decisions on GDPR compliance. J. Intell. Inf. Syst. Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro
2023	A	`conf`	Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. UMAP Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2023	J	`jnl`	HELENA: An intelligent digital assistant based on a Lifelong Health User Model. Inf. Process. Manag. Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2023	—	`conf`	Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research). Ital-IA 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, Giovanni Semeraro
2023	—	`ed.`	Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Hybrid Event, Singapore, September 18, 2023. IntRS@RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2023	J	`jnl`	Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023. SIGIR Forum Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2023	J	`jnl`	Virtual Customer Assistants in finance: From state of the art and practices to design guidelines. Comput. Sci. Rev. Andrea Iovine, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro
2023	—	`conf`	XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE. ACL (2) Pierluigi Cassotti, Lucia Siciliani, Marco de Gemmis, Giovanni Semeraro, Pierpaolo Basile
2022	—	`conf`	A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies. UMAP (Adjunct Publication) Alessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro
2022	J	`jnl`	An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system. J. Intell. Inf. Syst. Andrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
2022	—	`conf`	Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations. DP@AI*IA Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2022	A	`conf`	Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2022	A	`conf`	Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. RecSys Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2022	—	`conf`	Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations. UMAP (Adjunct Publication) Marco Polignano, Giuseppe Colavito, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro
2022	—	`conf`	Narrative Recommendations based on Natural Language Preference Elicitation for a Virtual Assistant for the Movie Domain. DP@AI*IA Alessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro
2022	—	`ed.`	Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Hybrid Event, Seattle, US, September 22, 2022. IntRS@RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2022	—	`conf`	Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features. itaDATA Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice
2022	—	`ch.`	Semantics and Content-Based Recommendations. Recommender Systems Handbook Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro
2021	—	`conf`	An Investigation on the Impact of Natural Language on Conversational Recommendations. IIR Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
2021	—	`conf`	Comparing Transformer-based NER approaches for analysing textual medical diagnoses. CLEF (Working Notes) Marco Polignano, Marco de Gemmis, Giovanni Semeraro
2021	J	`jnl`	Context-aware graph-based recommendations exploiting Personalized PageRank. Knowl. Based Syst. Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2021	—	`conf`	Emerging Trends in Gender-Specific Occupational Titles in Italian Newspapers. CLiC-it Pierluigi Cassotti, Andrea Iovine, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2021	—	`conf`	Extracting Relations from Italian Wikipedia using Self-Training. CLiC-it Lucia Siciliani, Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2021	—	`conf`	Extracting Relations from Italian Wikipedia using Unsupervised Information Extraction. IIR Pierluigi Cassotti, Lucia Siciliani, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops
2021	J	`jnl`	Generating post hoc review-based natural language justifications for recommender systems. User Model. User Adapt. Interact. Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2021	Misc	`conf`	Improving preference elicitation in a conversational recommender system with active learning strategies. SAC Andrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
2021	A	`conf`	Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen
2021	J	`jnl`	MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services. ACM Trans. Inf. Syst. Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2021	—	`ed.`	Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Online Event, September 25 and September 29, 2021. IntRS@RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen
2021	J	`jnl`	Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images. Inf. Vasilis Kopsachilis, Lucia Siciliani, Marco Polignano, Polichronis Kolokoussis, Michail Vaitis, Marco de Gemmis, Konstantinos N. Topouzelis
2021	A	`conf`	Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations. RecSys Marco Polignano, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2021	J	`jnl`	Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors. Expert Syst. Appl. Marco Polignano, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
2020	—	`conf`	A Comparative Study of Approaches for the Diachronic Analysis of the Italian Language. NL4AI@AI*IA Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2020	—	`conf`	A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems. IntRS@RecSys Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Marco Polignano, Pierpaolo Basile, Giovanni Semeraro
2020	—	`conf`	A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task. CLiC-it Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2020	—	`conf`	A Virtual Customer Assistant for the Wealth Management domain in the UWMP project. HAI-GEN+user2agent@IUI Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro, Doriana Filisetti, Davide Ingoglia, Georgios Lekkas
2020	—	`conf`	A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020. CLEF (Working Notes) Marco Polignano, Vincenzo Suriano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2020	J	`jnl`	An investigation on the user interaction modes of conversational recommender systems for the music domain. User Model. User Adapt. Interact. Fedelucio Narducci, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2020	—	`conf`	Analysis of Lexical Semantic Changes in Corpora with the Diachronic Engine. CLiC-it Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2020	—	`conf`	Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances. ICCSA (4) Marco Polignano, Marco de Gemmis, Giovanni Semeraro
2020	—	`conf`	DECiSION: Data-drivEn Customer Service InnovatiON. ICCSA (4) Dario Esposito, Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Davide Primiceri, Stefano Lisi, Mauro Casaburi, Giorgio Basile, Matteo Mennitti, Valentina Carella, Vito Manzari
2020	—	`conf`	Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. CLiC-it Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2020	—	`conf`	Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. IntRS@RecSys Cataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2020	J	`jnl`	HealthAssistantBot: A Personal Health Assistant for the Italian Language. IEEE Access Marco Polignano, Fedelucio Narducci, Andrea Iovine, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro
2020	—	`conf`	Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. EAIS Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
2020	A	`conf`	Interfaces and Human Decision Making for Recommender Systems. RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
2020	J	`jnl`	Myrror: a platform for holistic user modeling. User Model. User Adapt. Interact. Cataldo Musto, Marco Polignano, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2020	—	`ed.`	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), Online Event, September 26, 2020. IntRS@RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
2020	—	`conf`	Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling. UMAP (Adjunct Publication) Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2019	—	`conf`	A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention. UMAP (Adjunct Publication) Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2019	—	`conf`	A Dataset of Real Dialogues for Conversational Recommender Systems. CLiC-it Andrea Iovine, Fedelucio Narducci, Marco de Gemmis
2019	—	`conf`	AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets. CLiC-it Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro, Valerio Basile
2019	A	`conf`	Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations. RecSys Cataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2019	—	`conf`	Hate Speech Detection through AlBERTo Italian Language Understanding Model. NL4AI@AI*IA Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2019	A	`conf`	Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. UMAP Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2019	J	`jnl`	Linked open data-based explanations for transparent recommender systems. Int. J. Hum. Comput. Stud. Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2019	—	`conf`	Natural Language Justifications for Recommender Systems Exploiting Text Summarization and Sentiment Analysis. DDC@AI*IA Cataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2019	—	`ed.`	Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), Copenhagen, Denmark, September 19, 2019. IntRS@RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
2019	A	`conf`	RecSys '19 joint workshop on interfaces and human decision making for recommender systems. RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
2019	—	`conf`	SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks. SemEval@NAACL-HLT Marco Polignano, Marco de Gemmis, Giovanni Semeraro
2019	—	`conf`	Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation. UMAP (Adjunct Publication) Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2018	—	`conf`	A Domain-independent Framework for building Conversational Recommender Systems. KaRS@RecSys Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2018	—	`conf`	A Framework for Building Chat-based Recommender Systems. CIKM Workshops Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2018	—	`conf`	A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints. UMAP (Adjunct Publication) Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops
2018	—	`conf`	An Emotion-driven Approach for Aspect-based Opinion Mining. IIR Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2018	—	`conf`	Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data. UMAP (Adjunct Publication) Cataldo Musto, Tiziano Franza, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2018	—	`conf`	Improving the User Experience with a Conversational Recommender System. AI*IA Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2018	—	`conf`	Myrror: a Platform for Quantified Self and Holistic User Modeling. UMAP (Adjunct Publication) Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops
2018	—	`conf`	Overview of the EVALITA 2018 Solving Language Games (NLP4FUN) Task. EVALITA@CLiC-it Pierpaolo Basile, Marco de Gemmis, Lucia Siciliani, Giovanni Semeraro
2018	—	`ed.`	Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2018, co-located with ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, October 7, 2018. IntRS@RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
2018	—	`ch.`	Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering. Collaborative Recommendations Pasquale Lops, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Marco Polignano, Giovanni Semeraro
2018	—	`ch.`	Recommender Systems, Basics of. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Marco de Gemmis, Pasquale Lops, Marco Polignano
2018	A	`conf`	Recsys'18 joint workshop on interfaces and human decision making for recommender systems. RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
2018	—	`conf`	Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features. WWW (Companion Volume) Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2018	J	`jnl`	TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning. Inf. Syst. Frontiers Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2018	—	`conf`	UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List. UMAP (Adjunct Publication) Marko Tkalcic, Marco de Gemmis
2017	A	`conf`	A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. UMAP Alessandro Suglia, Claudio Greco, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2017	A	`conf`	A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features. UMAP Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2017	A	`conf`	A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews. RecSys Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops
2017	—	`conf`	Do You Feel Blue? Detection of Negative Feeling from Social Media. AI*IA Marco Polignano, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro
2017	—	`ch.`	Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations. Emotions and Personality in Personalized Services Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2017	—	`conf`	Empathic Inclination from Digital Footprints. IIR Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro
2017	—	`conf`	Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features. AI*IA Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2017	J	`jnl`	Introducing linked open data in graph-based recommender systems. Inf. Process. Manag. Cataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2017	—	`ch.`	Introduction to Emotions and Personality in Personalized Systems. Emotions and Personality in Personalized Services Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir
2017	A	`conf`	Learning Inclination to Empathy from Social Media Footprints. UMAP Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro
2017	—	`ed.`	Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017. IntRS Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen
2017	A	`conf`	RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. RecSys Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen
2017	J	`jnl`	Recognizing users feedback from non-verbal communicative acts in conversational recommender systems. Pattern Recognit. Lett. Berardina De Carolis, Marco de Gemmis, Pasquale Lops, Giuseppe Palestra
2017	—	`conf`	Recommender Systems in the Internet of Talking Things (IoTT). RecSys Posters Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2017	—	`conf`	Recommending Doctors and Health Facilities in the HealthNet Social Network. SoMePeAS@ECIR Fedelucio Narducci, Cataldo Musto, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2017	J	`jnl`	Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features. Knowl. Based Syst. Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2017	A	`conf`	Temporal Semantic Analysis of Conference Proceedings. ECIR Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2017	—	`conf`	Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data. ESWC (1) Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2017	—	`conf`	User's Social Media Profile as Predictor of Empathy. UMAP (Adjunct Publication) Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro
2016	A	`conf`	4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). RecSys Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir
2016	J	`jnl`	Concept-based item representations for a cross-lingual content-based recommendation process. Inf. Sci. Fedelucio Narducci, Pierpaolo Basile, Cataldo Musto, Pasquale Lops, Annalina Caputo, Marco de Gemmis, Leo Iaquinta, Giovanni Semeraro
2016	—	`book`	Emotions and Personality in Personalized Services - Models, Evaluation and Applications Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir
2016	A	`conf`	ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud. RecSys Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2016	A	`conf`	Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems. ECIR Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2016	A	`conf`	Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience. UMAP Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2016	—	`conf`	Overview of the EVALITA 2016 Question Answering for Frequently Asked Questions (QA4FAQ) Task. CLiC-it/EVALITA Annalina Caputo, Marco de Gemmis, Pasquale Lops, Francesco Lovecchio, Vito Manzari
2016	—	`ed.`	Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016. EMPIRE@RecSys Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir
2016	A	`conf`	Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. UMAP Cataldo Musto, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2016	J	`jnl`	Solving a Complex Language Game by Using Knowledge-Based Word Associations Discovery. IEEE Trans. Comput. Intell. AI Games Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2016	A	`conf`	T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference. RecSys Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2015	—	`conf`	A General Architecture for an Emotion-aware Content-based Recommender System. EMPIRE@RecSys Fedelucio Narducci, Marco de Gemmis, Pasquale Lops
2015	—	`conf`	A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems. EMPIRE@RecSys Berardina De Carolis, Marco de Gemmis, Pasquale Lops
2015	—	`conf`	A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network. WWW (Companion Volume) Fedelucio Narducci, Cataldo Musto, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2015	J	`jnl`	A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems. Intelligenza Artificiale Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2015	J	`jnl`	An investigation on the serendipity problem in recommender systems. Inf. Process. Manag. Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Cataldo Musto
2015	—	`conf`	Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems. CBRecSys@RecSys Cataldo Musto, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Simone Rutigliano
2015	J	`jnl`	CrowdPulse: A framework for real-time semantic analysis of social streams. Inf. Syst. Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2015	—	`conf`	Developing Smart Cities Services through Semantic Analysis of Social Streams. WWW (Companion Volume) Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2015	A	`conf`	EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems. RecSys Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir
2015	—	`conf`	Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity. CBRecSys@RecSys Paolo Tomeo, Tommaso Di Noia, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Eugenio Di Sciascio
2015	—	`ch.`	Human Decision Making and Recommender Systems. Recommender Systems Handbook Anthony Jameson, Martijn C. Willemsen, Alexander Felfernig, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Li Chen
2015	—	`conf`	Modeling Short-Term Preferences in Time-Aware Recommender Systems. UMAP Workshops Pierpaolo Basile, Annalina Caputo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2015	J	`jnl`	Personalized finance advisory through case-based recommender systems and diversification strategies. Decis. Support Syst. Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Georgios Lekkas
2015	J	`jnl`	Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques. Artif. Intell. Piero Molino, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Pierpaolo Basile
2015	—	`conf`	Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality. DC@AI*IA Marco Polignano, Marco de Gemmis
2015	—	`ch.`	Semantics-Aware Content-Based Recommender Systems. Recommender Systems Handbook Marco de Gemmis, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro
2015	—	`conf`	Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. RecSys Posters Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2014	A	`conf`	Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation. UMAP Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2014	—	`conf`	Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems. SemWebEval@ESWC Pierpaolo Basile, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro
2014	—	`conf`	Developing a Semantic Content Analyzer for L'Aquila Social Urban Network. IIR Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci, Luciana Bordoni, Mauro Annunziato, Claudia Meloni, Franco F. Orsucci, Giulia Paoloni
2014	—	`conf`	Financial Product Recommendation through Case-based Reasoning and Diversification Techniques. RecSys Posters Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Georgios Lekkas
2014	—	`conf`	Linked Open Data-enabled Strategies for Top-N Recommendations. CBRecSys@RecSys Cataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2014	—	`conf`	Personality and Emotions in Decision Making and Recommender Systems. DMRS Marko Tkalcic, Giovanni Semeraro, Marco de Gemmis
2014	—	`conf`	SABRE: A Sentiment Aspect-Based Retrieval Engine. DART@AI*IA (Revised and Invited Papers) Annalina Caputo, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Gaetano Rossiello
2013	—	`conf`	A Virtual Player for "Who Wants to Be a Millionaire?" based on Question Answering. AI*IA Piero Molino, Pierpaolo Basile, Ciro Santoro, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2013	J	`jnl`	Content-based and collaborative techniques for tag recommendation: an empirical evaluation. J. Intell. Inf. Syst. Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Cataldo Musto, Fedelucio Narducci
2013	—	`conf`	Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics. EC-Web Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2013	—	`conf`	Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists. IIR Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2013	—	`conf`	Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems. EC-Web Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2013	J	`jnl`	Human Decision Making and Recommender Systems. ACM Trans. Interact. Intell. Syst. Li Chen, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro
2013	J	`jnl`	Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro
2013	A	`conf`	Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles. UMAP Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2013	—	`conf`	Mathematical Methods of Tensor Factorization Applied to Recommender Systems. ADBIS (2) Giuseppe Ricci, Marco de Gemmis, Giovanni Semeraro
2013	—	`conf`	Myusic: a Content-based Music Recommender System based on eVSM and Social Media. IIR Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2013	—	`ed.`	Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 12, 2013. Decisions@RecSys Li Chen, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen
2013	J	`jnl`	Semantic technologies for industry: From knowledge modeling and integration to intelligent applications. Intelligenza Artificiale Giovanni Semeraro, Pierpaolo Basile, Roberto Basili, Marco de Gemmis, Chiara Ghidini, Maurizio Lenzerini, Pasquale Lops, Alessandro Moschitti, Cataldo Musto, Fedelucio Narducci, Arianna Pipitone, Roberto Pirrone, Piero Poccianti, Luciano Serafini
2013	J	`jnl`	The contribution of AI to enhance understanding of Cultural Heritage. Intelligenza Artificiale Luciana Bordoni, Liliana Ardissono, Juan A. Barceló, Antonio Chella, Marco de Gemmis, Cristina Gena, Leo Iaquinta, Pasquale Lops, Francesco Mele, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Antonio Sorgente
2013	A	`conf`	Workshop on human decision making in recommender systems: decisions@RecSys'13. RecSys Li Chen, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen
2013	A	`conf`	Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013. RecSys Marco de Gemmis, Tommaso Di Noia, Ora Lassila, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro
2012	J	`jnl`	A folksonomy-based recommender system for personalized access to digital artworks. ACM Journal on Computing and Cultural Heritage Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Cataldo Musto, Fedelucio Narducci
2012	J	`jnl`	An Artificial Player for a Language Game. IEEE Intell. Syst. Giovanni Semeraro, Marco de Gemmis, Pasquale Lops, Pierpaolo Basile
2012	—	`conf`	Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering. IIR Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2012	A	`conf`	Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides. UMAP Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri, Jan H. M. Korst, Verus Pronk, Ramon Clout
2012	—	`conf`	Leveraging Social Media Sources to Generate Personalized Music Playlists. EC-Web Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci
2012	—	`conf`	OTTHO: An Artificial Player for a Complex Language Game. PAI Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Pierpaolo Basile
2012	—	`ed.`	Proceedings of the 2nd Workshop on Human Decision Making in Recommender Systems, Dublin, Ireland, September 9, 2012 Decisions@Recsys Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen
2012	—	`ed.`	Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data, Boston, USA, November 11, 2012 SeRSy Marco de Gemmis, Tommaso Di Noia, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro
2012	A	`conf`	RecSys'12 workshop on human decision making in recommender systems. RecSys Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen
2012	—	`conf`	TV-Show Retrieval and Classification. IIR Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri, Jan H. M. Korst, Verus Pronk, Ramon Clout
2011	—	`ch.`	Content-based Recommender Systems: State of the Art and Trends. Recommender Systems Handbook Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2011	—	`conf`	Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models. AI*IA Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2011	—	`conf`	Decision Making and Recommendation Acceptance Issues in Recommender Systems. UMAP Workshops Francesco Ricci, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
2011	—	`conf`	Explicit Semantic Analysis for Enriching Content-Based User Profiles. IIR Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2011	—	`conf`	Learning semantic content-based profiles for cross-language recommendations. PMHR@HT Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro
2011	A	`conf`	Leveraging the linkedin social network data for extracting content-based user profiles. RecSys Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Fedelucio Narducci, Cataldo Musto
2011	—	`ch.`	Motivating Serendipitous Encounters in Museum Recommendations. Advances in Distributed Agent-Based Retrieval Tools Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Piero Molino
2011	—	`ed.`	Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011, Bonn, Germany, October 24, 2011 SPIM Marco de Gemmis, Ernesto William De Luca, Tommaso Di Noia, Aldo Gangemi, Michael Hausenblas, Pasquale Lops, Thomas Lukasiewicz, Till Plumbaum, Giovanni Semeraro
2011	—	`conf`	Random Indexing and Negative User Preferences for Enhancing Content-Based Recommender Systems. EC-Web Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2011	—	`conf`	Random Indexing for Content-Based Recommender Systems. IIR Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2010	—	`conf`	An IR-Based Approach for Tag Recommendation. IIR Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2010	—	`conf`	Combining Collaborative and Content-Based Techniques for Tag Recommendation. EC-Web Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis
2010	Misc	`conf`	Cross-Language Personalization through a Semantic Content-Based Recommender System. AIMSA Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro
2010	—	`conf`	Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage. IRCDL Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2010	—	`book`	Intelligent Information Access Giuliano Armano, Marco de Gemmis, Giovanni Semeraro, Eloisa Vargiu
2010	—	`ch.`	Learning Preference Models in Recommender Systems. Preference Learning Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro
2010	—	`conf`	MARS: a MultilAnguage Recommender System. HetRec@RecSys Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro
2010	J	`jnl`	Semantic Indexing And Filtering For Intelligent Personalized Digital Libraries. Intelligenza Artificiale Pierpaolo Basile, Marco de Gemmis, Anna Lisa Gentile, Leo Iaquinta, Pasquale Lops, Giovanni Semeraro
2010	—	`conf`	Serendipitous Encounters along Dynamically Personalized Museum Tours. IIR Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Piero Molino
2009	—	`conf`	"Language Is the Skin of My Thought": Integrating Wikipedia and AI to Support a Guillotine Player. AI*IA Pasquale Lops, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
2009	—	`conf`	A Hybrid Strategy for Italian Word Sense Disambiguation. IRCDL Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2009	—	`ch.`	A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access. Web Personalization in Intelligent Environments Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Cataldo Musto, Fedelucio Narducci, Massimo Bux
2009	C	`conf`	Content-Based Filtering with Tags: The FIRSt System. ISDA Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Paolo Gissi, Cataldo Musto, Fedelucio Narducci
2009	—	`book`	Knowledge Discovery Enhanced with Semantic and Social Information Bettina Berendt, Dunja Mladenic, Marco de Gemmis, Giovanni Semeraro, Myra Spiliopoulou, Gerd Stumme, Vojtech Svátek, Filip Zelezný
2009	A	`conf`	Knowledge infusion into content-based recommender systems. RecSys Giovanni Semeraro, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis
2009	A*	`conf`	On the Tip of My Thought: Playing the Guillotine Game. IJCAI Giovanni Semeraro, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis
2009	C	`conf`	Recommendations toward Serendipitous Diversions. ISDA Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2009	—	`conf`	STaR: a Social Tag Recommender System. DC@PKDD/ECML Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2009	—	`conf`	SpIteR: A Module for Recommending Dynamic Personalized Museum Tours. Web Intelligence Pierpaolo Basile, Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro
2009	—	`ch.`	User Profiles for Personalizing Digital Libraries. Handbook of Research on Digital Libraries Giovanni Semeraro, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops
2008	—	`conf`	Combining Knowledge-based Methods and Supervised Learning for Effective Italian Word Sense Disambiguation. STEP Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2008	C	`conf`	Introducing Serendipity in a Content-Based Recommender System. HIS Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Michele Filannino, Piero Molino
2007	—	`conf`	UNIBA: JIGSAW algorithm for Word Sense Disambiguation. SemEval@ACL Pierpaolo Basile, Marco de Gemmis, Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro