Pasquale Lops

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 90

Top Venues

RecSys

UMAP

UMAP (Adjunct Publication)

IIR

Publications

Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. UMAP (2024)
Lucia Siciliani, Eleonora Ghizzota, Pierpaolo Basile, Pasquale Lops
OIE4PA: open information extraction for the public administration. J. Intell. Inf. Syst. 62 (1) (2024)
Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro
Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces. UMAP (Adjunct Publication) (2024)
Giuseppe Spillo, Francesco Bottalico, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. UMAP (2024)
Lucia Siciliani, Emanuele Tanzi, Pierpaolo Basile, Pasquale Lops
Automatic Generation of Common Procurement Vocabulary Codes. CLiC-it (2023)
Pierpaolo Basile, Marco Di Ciano, Nicola Lopane, Pasquale Lops, Giuseppe Marziale, Monica Messa, Lucia Siciliani, Vincenzo Taccardi, Vincenzo Tamburrano
Sistemi Basati sull'Intelligenza Artificiale per il Supporto alle Decisioni negli Appalti Pubblici (Artificial Intelligence Systems for Decision Support in Public Procurement). Ital-IA (2023)
Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. UMAP (2023)
Pasquale Lops, Cataldo Musto, Marco Polignano
Accountable Knowledge-aware Recommender Systems. UMAP (2023)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). RecSys (2023)
Pasquale Lops, Elio Musacchio, Cataldo Musto, Marco Polignano, Antonio Silletti, Giovanni Semeraro
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. RecSys (2023)
Pasquale Lops, Marco Polignano, Cataldo Musto, Antonio Silletti, Giovanni Semeraro
ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems. Inf. Syst. 119 (2023)
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
Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research). Ital-IA (2023)
Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
HELENA: An intelligent digital assistant based on a Lifelong Health User Model. Inf. Process. Manag. 60 (1) (2023)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023. SIGIR Forum 57 (2) (2023)
Lucia Siciliani, Vincenzo Taccardi, Pierpaolo Basile, Marco Di Ciano, Pasquale Lops
AI-based decision support system for public procurement. Inf. Syst. 119 (2023)
Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations. DP@AI*IA (2022)
Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro
MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs. Semantic Web 13 (2) (2022)
Pasquale Lops, Cataldo Musto, Marco Polignano
Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe). UMAP (2022)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). RecSys (2022)
Pasquale Lops, Marco Di Ciano, Nicola Lopane, Lucia Siciliani, Vincenzo Taccardi, Eleonora Ghizzota, Giovanni Semeraro
AI-based Decision Support Systems for the Management of E-rocurement Procedures. IIR (2022)
Andrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system. J. Intell. Inf. Syst. 58 (2) (2022)
Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. RecSys (2022)
Erasmo Purificato, Cataldo Musto, Pasquale Lops, Ernesto William De Luca
First Workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI 2022). IUI Companion (2022)
Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Generating post hoc review-based natural language justifications for recommender systems. User Model. User Adapt. Interact. 31 (3) (2021)
Pierluigi Cassotti, Lucia Siciliani, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops
Extracting Relations from Italian Wikipedia using Unsupervised Information Extraction. IIR (2021)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Context-aware graph-based recommendations exploiting Personalized PageRank. Knowl. Based Syst. 216 (2021)
Andrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
Improving preference elicitation in a conversational recommender system with active learning strategies. SAC (2021)
Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services. ACM Trans. Inf. Syst. 39 (4) (2021)
Cataldo Musto, Pasquale Lops, Giovanni Semeraro
Fairness and Popularity Bias in Recommender Systems: an Empirical Evaluation. DP@AI*IA (2021)
Lucia Siciliani, Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Extracting Relations from Italian Wikipedia using Self-Training. CLiC-it (2021)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). RecSys (2021)
Marco Polignano, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations. RecSys (2021)
Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. CLiC-it (2020)
Cataldo Musto, Marco Polignano, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Myrror: a platform for holistic user modeling. User Model. User Adapt. Interact. 30 (3) (2020)
Cataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. IntRS@RecSys (2020)
Marco Polignano, Vincenzo Suriano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020. CLEF (Working Notes) (2020)
Marco Giuseppe de Pinto, Marco Polignano, Pasquale Lops, Giovanni Semeraro
Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients. EAIS (2020)
Berardina Nadja De Carolis, Pasquale Lops, Cataldo Musto, Giovanni Semeraro
Towards a Social Robot as Interface for Tourism Recommendations. cAESAR (2020)
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task. CLiC-it (2020)
Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling. UMAP (Adjunct Publication) (2020)
Fedelucio Narducci, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
An investigation on the user interaction modes of conversational recommender systems for the music domain. User Model. User Adapt. Interact. 30 (2) (2020)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
Interfaces and Human Decision Making for Recommender Systems. RecSys (2020)
Marco Polignano, Marco Giuseppe de Pinto, Pasquale Lops, Giovanni Semeraro
Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents. CLEF (Working Notes) (2019)
Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Linked open data-based explanations for transparent recommender systems. Int. J. Hum. Comput. Stud. 121 (2019)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
RecSys '19 joint workshop on interfaces and human decision making for recommender systems. RecSys (2019)
Cataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Aonghus Lawlor, Pasquale Lops, Giovanni Semeraro, Nava Tintarev
UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization. UMAP (Adjunct Publication) (2019)
Cataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations. RecSys (2019)
Cataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Natural Language Justifications for Recommender Systems Exploiting Text Summarization and Sentiment Analysis. DDC@AI*IA (2019)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. UMAP (2019)
Pasquale Lops, Dietmar Jannach, Cataldo Musto, Toine Bogers, Marijn Koolen
Trends in content-based recommendation - Preface to the special issue on Recommender systems based on rich item descriptions. User Model. User Adapt. Interact. 29 (2) (2019)
Lucia Siciliani, Dennis Diefenbach, Pierre Maret, Pierpaolo Basile, Pasquale Lops
Handling Modifiers in Question Answering over Knowledge Graphs. AI*IA (2019)
Pierpaolo Basile, Lucia Siciliani, Gaetano Rossiello, Pasquale Lops
Distributional Representation of Words for Small Corpora using Pre-training Techniques. IIR (2019)
Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Framework for Building Chat-based Recommender Systems. CIKM Workshops (2018)
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Pasquale Lops, Joseph Trotta
Moving from Item Rating to Features Relevance in Top-N Recommendation. IIR (2018)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
Recsys'18 joint workshop on interfaces and human decision making for recommender systems. RecSys (2018)
Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Improving the User Experience with a Conversational Recommender System. AI*IA (2018)
Cataldo Musto, Tiziano Franza, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data. UMAP (Adjunct Publication) (2018)
Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops
Myrror: a Platform for Quantified Self and Holistic User Modeling. UMAP (Adjunct Publication) (2018)
Federica Cena, Amon Rapp, Cataldo Musto, Pasquale Lops
Towards a Conceptual Model for Holistic Recommendations. UMAP (Adjunct Publication) (2018)
Vito Walter Anelli, Pierpaolo Basile, Derek G. Bridge, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Markus Zanker
Knowledge-aware and conversational recommender systems. RecSys (2018)
Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning. Inf. Syst. Frontiers 20 (6) (2018)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features. WWW (Companion Volume) (2018)
Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops
A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints. UMAP (Adjunct Publication) (2018)
Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Domain-independent Framework for building Conversational Recommender Systems. KaRS@RecSys (2018)
Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro
Power to the patients: The HealthNetsocial network. Inf. Syst. 71 (2017)
Fedelucio Narducci, Cataldo Musto, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Recommending Doctors and Health Facilities in the HealthNet Social Network. SoMePeAS@ECIR (2017)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen
RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. RecSys (2017)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features. Knowl. Based Syst. 136 (2017)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data. ESWC (1) (2017)
Berardina De Carolis, Marco de Gemmis, Pasquale Lops, Giuseppe Palestra
Recognizing users feedback from non-verbal communicative acts in conversational recommender systems. Pattern Recognit. Lett. 99 (2017)
Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Eugenio Di Sciascio
Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. RecSysKTL (2017)
Alessandro Suglia, Claudio Greco, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. UMAP (2017)
Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features. AI*IA (2017)
Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops
A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews. RecSys (2017)
Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro
Report on RecSys 2016Workshop on New Trends in Content-Based Recommender Systems. SIGIR Forum 51 (1) (2017)
Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Temporal Semantic Analysis of Conference Proceedings. ECIR (2017)
Cataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Introducing linked open data in graph-based recommender systems. Inf. Process. Manag. 53 (2) (2017)
Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Recommender Systems in the Internet of Talking Things (IoTT). RecSys Posters (2017)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features. UMAP (2017)
Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro
Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016). RecSys (2016)
Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Solving a Complex Language Game by Using Knowledge-Based Word Associations Discovery. IEEE Trans. Comput. Intell. AI Games 8 (1) (2016)
Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud. RecSys (2016)
Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference. RecSys (2016)
Cataldo Musto, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. UMAP (2016)
Piero Molino, Luca Maria Aiello, Pasquale Lops
Social Question Answering: Textual, User, and Network Features for Best Answer Prediction. ACM Trans. Inf. Syst. 35 (1) (2016)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience. UMAP (2016)
Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Nava Tintarev, Martijn C. Willemsen
RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. RecSys (2016)
Fedelucio Narducci, Pierpaolo Basile, Cataldo Musto, Pasquale Lops, Annalina Caputo, Marco de Gemmis, Leo Iaquinta, Giovanni Semeraro
Concept-based item representations for a cross-lingual content-based recommendation process. Inf. Sci. 374 (2016)
Annalina Caputo, Marco de Gemmis, Pasquale Lops, Francesco Lovecchio, Vito Manzari
Overview of the EVALITA 2016 Question Answering for Frequently Asked Questions (QA4FAQ) Task. CLiC-it/EVALITA (2016)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems. ECIR (2016)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. RecSys Posters (2015)
Fedelucio Narducci, Marco de Gemmis, Pasquale Lops
A General Architecture for an Emotion-aware Content-based Recommender System. EMPIRE@RecSys (2015)
Cataldo Musto, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Simone Rutigliano
Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems. CBRecSys@RecSys (2015)
Piero Molino, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Pierpaolo Basile
Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques. Artif. Intell. 222 (2015)
Berardina De Carolis, Marco de Gemmis, Pasquale Lops
A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems. EMPIRE@RecSys (2015)
Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
CrowdPulse: A framework for real-time semantic analysis of social streams. Inf. Syst. 54 (2015)
Fedelucio Narducci, Cataldo Musto, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network. WWW (Companion Volume) (2015)
Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Cataldo Musto
An investigation on the serendipity problem in recommender systems. Inf. Process. Manag. 51 (5) (2015)
John O'Donovan, Nava Tintarev, Alexander Felfernig, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS). RecSys (2015)
Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems. Intelligenza Artificiale 9 (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pasquale Lops