Giovanni Semeraro - researchr alias

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Viewing Publication 1 - 100 from 368

2023

Virtual Customer Assistants in finance: From state of the art and practices to design guidelinesAndrea Iovine, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro. csr, 47:100534, February 2023. [doi]

HELENA: An intelligent digital assistant based on a Lifelong Health User ModelMarco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. ipm, 60(1):103124, 2023. [doi]

2022

FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial ServicesToine Bogers, Cataldo Musto, David Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng 0001. recsys 2022: 688-690 [doi]

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22)Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen. recsys 2022: 667-670 [doi]

An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender systemAndrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro. jiis, 58(2):337-362, 2022. [doi]

AI-based Decision Support Systems for the Management of E-rocurement ProceduresPasquale Lops, Marco Di Ciano, Nicola Lopane, Lucia Siciliani, Vincenzo Taccardi, Eleonora Ghizzota, Giovanni Semeraro. iir 2022: [doi]

A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation StrategiesAlessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro. um 2022: 7-12 [doi]

Workshop on Explainable User Models and Personalised Systems (ExUM)Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler 0001. um 2022: 160-162 [doi]

Special Issue on Information Retrieval, Recommender Systems and Adaptive SystemsMarco Polignano, Giovanni Semeraro. information, 13(10):457, 2022. [doi]

Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered ExplanationsMarco Polignano, Giuseppe Colavito, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro. um 2022: 184-191 [doi]

MQALD: Evaluating the impact of modifiers in question answering over knowledge graphsLucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro. semweb, 13(2):215-231, 2022. [doi]

Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical RulesGiuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. recsys 2022: 616-621 [doi]

2021

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21)Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen. recsys 2021: 783-786 [doi]

Emerging Trends in Gender-Specific Occupational Titles in Italian NewspapersPierluigi Cassotti, Andrea Iovine, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. clic-it 2021: [doi]

Improving preference elicitation in a conversational recommender system with active learning strategiesAndrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro. SAC 2021: 1375-1382 [doi]

An Investigation on the Impact of Natural Language on Conversational RecommendationsAndrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro. iir 2021: [doi]

Generating post hoc review-based natural language justifications for recommender systemsCataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. umuai, 31(3):629-673, 2021. [doi]

Context-aware graph-based recommendations exploiting Personalized PageRankCataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. kbs, 216:106806, 2021. [doi]

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online ServicesCataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. tois, 39(4), 2021. [doi]

Workshop on Explainable User Models and Personalized Systems (ExUM 2021)Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler 0001. um 2021: 211-212 [doi]

Exploring the Effects of Natural Language Justifications in Food Recommender SystemsCataldo Musto, Alain D. Starke, Christoph Trattner, Amon Rapp, Giovanni Semeraro. um 2021: 147-157 [doi]

A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper)Paolo Pastore, Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro. recsys 2021: [doi]

Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven BehaviorsMarco Polignano, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro. eswa, 170:114382, 2021. [doi]

Comparing Transformer-based NER approaches for analysing textual medical diagnosesMarco Polignano, Marco de Gemmis, Giovanni Semeraro. clef 2021: 818-833 [doi]

Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word RepresentationsMarco Polignano, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. recsys 2021: 187-198 [doi]

Extracting Relations from Italian Wikipedia using Self-TrainingLucia Siciliani, Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. clic-it 2021: [doi]

2020

Interfaces and Human Decision Making for Recommender SystemsPeter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen. recsys 2020: 613-618 [doi]

Towards a Social Robot as Interface for Tourism RecommendationsBerardina Nadja De Carolis, Pasquale Lops, Cataldo Musto, Giovanni Semeraro. caesar 2020: 28-33 [doi]

Analysis of Lexical Semantic Changes in Corpora with the Diachronic EnginePierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. clic-it 2020: [doi]

Generating Recommendations From Multiple Data Sources: A Methodological Framework for System Design and Its ApplicationFederica Cena, Amon Rapp, Cataldo Musto, Giovanni Semeraro. access, 8:183430-183447, 2020. [doi]

Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral CoefficientsMarco Giuseppe de Pinto, Marco Polignano, Pasquale Lops, Giovanni Semeraro. eais 2020: 1-5 [doi]

Conversational Recommender Systems and natural language: : A study through the ConveRSE frameworkAndrea Iovine, Fedelucio Narducci, Giovanni Semeraro. dss, 131:113250, 2020. [doi]

A Comparison of Services for Intent and Entity Recognition for Conversational Recommender SystemsAndrea Iovine, Fedelucio Narducci, Marco de Gemmis, Marco Polignano, Pierpaolo Basile, Giovanni Semeraro. recsys 2020: 37-47 [doi]

Humanoid Robots and Conversational Recommender Systems: a Preliminary StudyAndrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro. eais 2020: 1-7 [doi]

A Virtual Customer Assistant for the Wealth Management domain in the UWMP projectAndrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro, Doriana Filisetti, Davide Ingoglia, Georgios Lekkas. IUI 2021: [doi]

Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysisVittorio Lingiardi, Nicola Carone, Giovanni Semeraro, Cataldo Musto, Marilisa D'amico, Silvia Brena. behaviourIT, 39(7):711-721, 2020. [doi]

Myrror: a platform for holistic user modelingCataldo Musto, Marco Polignano, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops. umuai, 30(3):477-511, 2020. [doi]

Towards a Knowledge-aware Food Recommender System Exploiting Holistic User ModelsCataldo Musto, Christoph Trattner, Alain Starke, Giovanni Semeraro. um 2020: 333-337 [doi]

Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender SystemsCataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. recsys 2020: 65-71 [doi]

Workshop on Explainable User Models and Personalized Systems (ExUM 2020)Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler 0001. um 2020: 406-407 [doi]

UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & OrganizationCataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler 0001. um 2020: 204-205 [doi]

Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User ModelingCataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. um 2020: 213-218 [doi]

An investigation on the user interaction modes of conversational recommender systems for the music domainFedelucio Narducci, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. umuai, 30(2):251-284, 2020. [doi]

HealthAssistantBot: A Personal Health Assistant for the Italian LanguageMarco Polignano, Fedelucio Narducci, Andrea Iovine, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro. access, 8:107479-107497, 2020. [doi]

Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of PerformancesMarco Polignano, Marco de Gemmis, Giovanni Semeraro. iccsa 2020: 135-149 [doi]

A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020Marco Polignano, Vincenzo Suriano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. clef 2020: [doi]

A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding TaskMarco Polignano, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. clic-it 2020: [doi]

Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender SystemsGiuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. clic-it 2020: [doi]

2019

Bridging the gap between linked open data-based recommender systems and distributed representationsPierpaolo Basile, Claudio Greco 0002, Alessandro Suglia, Giovanni Semeraro. is, 86:1-8, 2019. [doi]

Kronos-it: a Dataset for the Italian Semantic Change Detection TaskPierpaolo Basile, Giovanni Semeraro, Annalina Caputo. clic-it 2019: [doi]

Diachronic Analysis of Entities by Exploiting Wikipedia Page revisionsPierpaolo Basile, Annalina Caputo, Séamus Lawless, Giovanni Semeraro. ranlp 2019: 84-91 [doi]

RecSys '19 joint workshop on interfaces and human decision making for recommender systemsPeter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen. recsys 2019: 560-561 [doi]

Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" ProjectArthur 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: [doi]

A Comparative Study of Approaches for the Diachronic Analysis of the Italian LanguagePierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. aiia 2020: 130-140 [doi]

Semantics in Adaptive and Personalised Systems - Methods, Tools and ApplicationsPasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro. Springer, 2019. [doi]

Linked open data-based explanations for transparent recommender systemsCataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. ijmms, 121:93-107, 2019. [doi]

HateChecker: a Tool to Automatically Detect Hater Users in Online Social NetworksCataldo Musto, Angelo Sansonetti, Marco Polignano, Giovanni Semeraro, Marco Stranisci. clic-it 2019: [doi]

Hybrid Semantics-Aware Recommendations Exploiting Knowledge Graph EmbeddingsCataldo Musto, Pierpaolo Basile, Giovanni Semeraro. aiia 2019: 87-100 [doi]

Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpediaCataldo Musto, Pierpaolo Basile, Giovanni Semeraro. um 2019: 27-31 [doi]

Justifying Recommendations through Aspect-based Sentiment Analysis of Users ReviewsCataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. um 2019: 4-12 [doi]

Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendationsCataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. recsys 2019: 383-387 [doi]

Natural Language Justifications for Recommender Systems Exploiting Text Summarization and Sentiment AnalysisCataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. aiia 2019: 63-73 [doi]

UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & OrganizationCataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Aonghus Lawlor, Pasquale Lops, Giovanni Semeraro, Nava Tintarev. um 2019: 225-227 [doi]

Hate Speech Detection through AlBERTo Italian Language Understanding ModelMarco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. aiia 2019: [doi]

Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist ContinuationMarco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. um 2019: 235-239 [doi]

A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-AttentionMarco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. um 2019: 63-68 [doi]

SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networksMarco Polignano, Marco de Gemmis, Giovanni Semeraro. semeval 2019: 324-329 [doi]

Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated ContentsMarco Polignano, Marco Giuseppe de Pinto, Pasquale Lops, Giovanni Semeraro. clef 2019: [doi]

AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on TweetsMarco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro, Valerio Basile. clic-it 2019: [doi]

Modeling concepts and their relationships for corpus-based query auto-completionGaetano Rossiello, Annalina Caputo, Pierpaolo Basile, Giovanni Semeraro. cejcs, 9(1):212-225, 2019. [doi]

Latent Relational Model for Relation ExtractionGaetano Rossiello, Alfio Gliozzo, Nicolas R. Fauceglia, Giovanni Semeraro. esws 2019: 283-297 [doi]

An Italian Question Answering System for Structured Data based on Controlled Natural LanguagesLucia Siciliani, Pierpaolo Basile, Giovanni Semeraro, Matteo Mennitti. clic-it 2019: [doi]

2018

Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender SystemPierpaolo Basile, Claudio Greco 0002, Alessandro Suglia, Giovanni Semeraro. ia, 12(2):125-141, 2018. [doi]

Overview of the EVALITA 2018 Solving Language Games (NLP4FUN) TaskPierpaolo Basile, Marco de Gemmis, Lucia Siciliani, Giovanni Semeraro. evalita 2018: [doi]

UNIBA - Integrating Distributional Semantics Features in a Supervised Approach for Detecting Irony in Italian TweetsPierpaolo Basile, Giovanni Semeraro. evalita 2018: [doi]

Recsys'18 joint workshop on interfaces and human decision making for recommender systemsPeter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen. recsys 2018: 519-520 [doi]

Recommendations Biases and Beyond-Accuracy Objectives in Collaborative FilteringPasquale Lops, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Marco Polignano, Giovanni Semeraro. In Shlomo Berkovsky, Iván Cantador, Domonkos Tikk, editors, Collaborative Recommendations - Algorithms, Practical Challenges and Applications. pages 329-368, WorldScientific, 2018. [doi]

Myrror: a Platform for Quantified Self and Holistic User ModelingCataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops. um 2018: 215-216 [doi]

Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based FeaturesCataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. WWW 2018: 457-460 [doi]

A Framework for Holistic User Modeling Merging Heterogeneous Digital FootprintsCataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops. um 2018: 97-101 [doi]

Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open DataCataldo Musto, Tiziano Franza, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops. um 2018: 239-244 [doi]

UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs' Preface &OrganizationCataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Giovanni Semeraro. um 2018: 87-89 [doi]

TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine LearningFedelucio Narducci, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. isf, 20(6):1157-1171, 2018. [doi]

A Framework for Building Chat-based Recommender SystemsFedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. CIKM 2019: [doi]

A Domain-independent Framework for building Conversational Recommender SystemsFedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. recsys 2019: 29-34 [doi]

Improving the User Experience with a Conversational Recommender SystemFedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. aiia 2018: 528-538 [doi]

An Emotion-driven Approach for Aspect-based Opinion MiningMarco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. iir 2018: [doi]

2017

Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender SystemsClaudio Greco 0002, Alessandro Suglia, Pierpaolo Basile, Giovanni Semeraro. aiia 2017: 372-386 [doi]

Bi-directional LSTM-CNNs-CRF for Italian Sequence LabelingPierpaolo Basile, Giovanni Semeraro, Pierluigi Cassotti. clic-it 2017: [doi]

Report on RecSys 2016Workshop on New Trends in Content-Based Recommender SystemsToine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro. sigir, 51(1):45-51, 2017. [doi]

Emotion Detection Techniques for the Evaluation of Serendipitous RecommendationsMarco de Gemmis, Pasquale Lops, Giovanni Semeraro. In Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir, editors, Emotions and Personality in Personalized Services - Models, Evaluation and Applications. Human-Computer Interaction Series, pages 357-376, Springer, 2017. [doi]

Introducing linked open data in graph-based recommender systemsCataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. ipm, 53(2):405-435, 2017. [doi]

Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based featuresCataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. kbs, 136:1-14, 2017. [doi]

Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based FeaturesCataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. aiia 2017: 229-242 [doi]

Power to the patients: The HealthNetsocial networkFedelucio Narducci, Pasquale Lops, Giovanni Semeraro. is, 71:111-122, 2017. [doi]

Cross-lingual link discovery with TR-ESAFedelucio Narducci, Matteo Palmonari, Giovanni Semeraro. isci, 394:68-87, 2017. [doi]

Temporal Semantic Analysis of Conference ProceedingsFedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. ecir 2017: 762-765 [doi]

Learning Inclination to Empathy from Social Media FootprintsMarco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro. um 2017: 383-384 [doi]

Empathic Inclination from Digital FootprintsMarco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro. iir 2017: 24-27 [doi]

A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural NetworksAlessandro Suglia, Claudio Greco 0002, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. um 2017: 202-211 [doi]

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