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ORCIDGiovanni Semeraro
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- affiliation: University of Bari "Aldo Moro", Italy
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2020 – today
- 2023
[j66]Andrea Iovine
, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro:
Virtual Customer Assistants in finance: From state of the art and practices to design guidelines. Comput. Sci. Rev. 47: 100534 (2023)- [j65]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): 103124 (2023) - 2022
- [j64]Marco Polignano, Giovanni Semeraro:
Special Issue on Information Retrieval, Recommender Systems and Adaptive Systems. Inf. 13(10): 457 (2022) - [j63]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): 337-362 (2022) - [j62]Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs. Semantic Web 13(2): 215-231 (2022) - [c293]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 - [c292]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: 616-621 - [c291]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: 667-670 - [c290]Toine Bogers, Cataldo Musto, David Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng:
FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. RecSys 2022: 688-690 - [c289]Alessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro:
A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies. UMAP (Adjunct Publication) 2022: 7-12 - [c288]Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalised Systems (ExUM). UMAP (Adjunct Publication) 2022: 160-162 - [c287]Marco Polignano, Giuseppe Colavito, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro:
Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations. UMAP (Adjunct Publication) 2022: 184-191 - [e33]Cataldo Musto, Riccardo Guidotti, Anna Monreale, Giovanni Semeraro:
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28 - December 3, 2022. CEUR Workshop Proceedings 3277, CEUR-WS.org 2022 [contents] - [e32]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 3222, CEUR-WS.org 2022 [contents] - [r3]Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro:
Semantics and Content-Based Recommendations. Recommender Systems Handbook 2022: 251-298 - 2021
- [j61]Marco Polignano, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors. Expert Syst. Appl. 170: 114382 (2021) - [j60]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Context-aware graph-based recommendations exploiting Personalized PageRank. Knowl. Based Syst. 216: 106806 (2021) - [j59]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): 46:1-46:34 (2021) - [j58]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): 629-673 (2021) - [c286]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
Comparing Transformer-based NER approaches for analysing textual medical diagnoses. CLEF (Working Notes) 2021: 818-833 - [c285]Pierluigi Cassotti, Andrea Iovine, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Emerging Trends in Gender-Specific Occupational Titles in Italian Newspapers. CLiC-it 2021 - [c284]Lucia Siciliani, Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Extracting Relations from Italian Wikipedia using Self-Training. CLiC-it 2021 - [c283]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
An Investigation on the Impact of Natural Language on Conversational Recommendations. IIR 2021 - [c282]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: 187-198 - [c281]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: 783-786 - [c280]Paolo Pastore, Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro:
A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper). KaRS/ComplexRec@RecSys 2021 - [c279]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: 1375-1382 - [c278]Cataldo Musto, Alain D. Starke, Christoph Trattner, Amon Rapp, Giovanni Semeraro:
Exploring the Effects of Natural Language Justifications in Food Recommender Systems. UMAP 2021: 147-157 - [c277]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalized Systems (ExUM 2021). UMAP (Adjunct Publication) 2021: 211-212 - [e31]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 2948, CEUR-WS.org 2021 [contents] - 2020
- [j57]Marco Polignano, Fedelucio Narducci, Andrea Iovine, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro:
HealthAssistantBot: A Personal Health Assistant for the Italian Language. IEEE Access 8: 107479-107497 (2020) - [j56]Federica Cena, Amon Rapp, Cataldo Musto, Giovanni Semeraro:
Generating Recommendations From Multiple Data Sources: A Methodological Framework for System Design and Its Application. IEEE Access 8: 183430-183447 (2020) - [j55]Vittorio Lingiardi, Nicola Carone, Giovanni Semeraro, Cataldo Musto, Marilisa D'amico, Silvia Brena:
Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis. Behav. Inf. Technol. 39(7): 711-721 (2020) - [j54]Andrea Iovine, Fedelucio Narducci, Giovanni Semeraro:
Conversational Recommender Systems and natural language: : A study through the ConveRSE framework. Decis. Support Syst. 131: 113250 (2020) - [j53]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): 251-284 (2020) - [j52]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): 477-511 (2020) - [c276]Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
A Comparative Study of Approaches for the Diachronic Analysis of the Italian Language. NL4AI@AI*IA 2020: 130-140 - [c275]Berardina Nadja De Carolis, Pasquale Lops, Cataldo Musto, Giovanni Semeraro:
Towards a Social Robot as Interface for Tourism Recommendations. cAESAR 2020: 28-33 - [c274]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 - [c273]Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Analysis of Lexical Semantic Changes in Corpora with the Diachronic Engine. CLiC-it 2020 - [c272]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 - [c271]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 - [c270]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. EAIS 2020: 1-7 - [c269]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: 1-5 - [c268]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances. ICCSA (4) 2020: 135-149 - [c267]Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro, Doriana Filisetti, Davide Ingoglia, Georgios Lekkas:
A Virtual Customer Assistant for the Wealth Management domain in the UWMP project. HAI-GEN+user2agent@IUI 2020 - [c266]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Marco Polignano, Pierpaolo Basile, Giovanni Semeraro:
A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems. IntRS@RecSys 2020: 37-47 - [c265]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: 65-71 - [c264]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: 613-618 - [c263]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. UMAP (Adjunct Publication) 2020: 204-205 - [c262]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: 213-218 - [c261]Cataldo Musto, Christoph Trattner, Alain Starke, Giovanni Semeraro:
Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models. UMAP 2020: 333-337 - [c260]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalized Systems (ExUM 2020). UMAP 2020: 406-407 - [e30]Cataldo Musto, Daniele Magazzeni, Salvatore Ruggieri, Giovanni Semeraro:
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, XAI.it@AIxIA 2020, Online Event, November 25-26, 2020. CEUR Workshop Proceedings 2742, CEUR-WS.org 2020 [contents] - [e29]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 2682, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [b1]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Semantics in Adaptive and Personalised Systems - Methods, Tools and Applications. Springer 2019, ISBN 978-3-030-05617-9, pp. 1-186 - [j51]Gaetano Rossiello, Annalina Caputo, Pierpaolo Basile, Giovanni Semeraro:
Modeling concepts and their relationships for corpus-based query auto-completion. Open Comput. Sci. 9(1): 212-225 (2019) - [j50]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: 93-107 (2019) - [j49]Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro:
Bridging the gap between linked open data-based recommender systems and distributed representations. Inf. Syst. 86: 1-8 (2019) - [c259]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: 63-73 - [c258]Cataldo Musto, Pierpaolo Basile, Giovanni Semeraro:
Hybrid Semantics-Aware Recommendations Exploiting Knowledge Graph Embeddings. AI*IA 2019: 87-100 - [c257]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Hate Speech Detection through AlBERTo Italian Language Understanding Model. NL4AI@AI*IA 2019 - [c256]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 - [c255]Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo:
Kronos-it: a Dataset for the Italian Semantic Change Detection Task. CLiC-it 2019 - [c254]Arthur T. E. Capozzi, Mirko Lai, Valerio Basile, Cataldo Musto, Marco Polignano, Fabio Poletto, Manuela Sanguinetti, Cristina Bosco, Viviana Patti, Giancarlo Ruffo, Giovanni Semeraro, Marco Stranisci:
Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project. CLiC-it 2019 - [c253]Cataldo Musto, Angelo Sansonetti, Marco Polignano, Giovanni Semeraro, Marco Stranisci:
HateChecker: a Tool to Automatically Detect Hater Users in Online Social Networks. CLiC-it 2019 - [c252]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro, Valerio Basile:
AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets. CLiC-it 2019 - [c251]Lucia Siciliani, Pierpaolo Basile, Giovanni Semeraro, Matteo Mennitti:
An Italian Question Answering System for Structured Data based on Controlled Natural Languages. CLiC-it 2019 - [c250]Gaetano Rossiello, Alfio Gliozzo, Nicolas R. Fauceglia, Giovanni Semeraro:
Latent Relational Model for Relation Extraction. ESWC 2019: 283-297 - [c249]Pierpaolo Basile, Annalina Caputo, Séamus Lawless, Giovanni Semeraro:
Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions. RANLP 2019: 84-91 - [c248]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: 383-387 - [c247]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: 560-561 - [c246]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks. SemEval@NAACL-HLT 2019: 324-329 - [c245]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. UMAP 2019: 4-12 - [c244]Cataldo Musto, Pierpaolo Basile, Giovanni Semeraro:
Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpedia. UMAP (Adjunct Publication) 2019: 27-31 - [c243]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention. UMAP (Adjunct Publication) 2019: 63-68 - [c242]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: 225-227 - [c241]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation. UMAP (Adjunct Publication) 2019: 235-239 - [e28]Raffaella Bernardi, Roberto Navigli, Giovanni Semeraro:
Proceedings of the Sixth Italian Conference on Computational Linguistics, Bari, Italy, November 13-15, 2019. CEUR Workshop Proceedings 2481, CEUR-WS.org 2019 [contents] - [e27]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 2450, CEUR-WS.org 2019 [contents] - 2018
- [j48]Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro:
Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender System. Intelligenza Artificiale 12(2): 125-141 (2018) - [j47]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): 1157-1171 (2018) - [c240]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Improving the User Experience with a Conversational Recommender System. AI*IA 2018: 528-538 - [c239]Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Framework for Building Chat-based Recommender Systems. CIKM Workshops 2018 - [c238]Pierpaolo Basile, Marco de Gemmis, Lucia Siciliani, Giovanni Semeraro:
Overview of the EVALITA 2018 Solving Language Games (NLP4FUN) Task. EVALITA@CLiC-it 2018 - [c237]Pierpaolo Basile, Giovanni Semeraro:
UNIBA - Integrating Distributional Semantics Features in a Supervised Approach for Detecting Irony in Italian Tweets. EVALITA@CLiC-it 2018 - [c236]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
An Emotion-driven Approach for Aspect-based Opinion Mining. IIR 2018 - [c235]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: 29-34 - [c234]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: 519-520 - [c233]Cataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Giovanni Semeraro:
UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs' Preface &Organization. UMAP (Adjunct Publication) 2018: 87-89 - [c232]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: 97-101 - [c231]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: 215-216 - [c230]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: 239-244 - [c229]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: 457-460 - [p10]Pasquale Lops, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Marco Polignano, Giovanni Semeraro:
Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering. Collaborative Recommendations 2018: 329-368 - [e26]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 2225, CEUR-WS.org 2018 [contents] - 2017
- [j46]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): 405-435 (2017) - [j45]Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro:
Power to the patients: The HealthNetsocial network. Inf. Syst. 71: 111-122 (2017) - [j44]Fedelucio Narducci, Matteo Palmonari, Giovanni Semeraro:
Cross-lingual link discovery with TR-ESA. Inf. Sci. 394: 68-87 (2017) - [j43]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: 1-14 (2017) - [j42]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): 45-51 (2017) - [c228]Gaetano Rossiello, Pierpaolo Basile, Giovanni Semeraro:
Centroid-based Text Summarization through Compositionality of Word Embeddings. MultiLing@EACL 2017: 12-21 - [c227]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: 229-242 - [c226]Marco Polignano, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro:
Do You Feel Blue? Detection of Negative Feeling from Social Media. AI*IA 2017: 321-333 - [c225]Claudio Greco, Alessandro Suglia, Pierpaolo Basile, Giovanni Semeraro:
Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems. AI*IA 2017: 372-386 - [c224]Alessandro Suglia, Claudio Greco, Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo:
An Automatic Procedure for Generating Datasets for Conversational Recommender Systems. CLEF (Working Notes) 2017 - [c223]Pierpaolo Basile, Giovanni Semeraro, Pierluigi Cassotti:
Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling. CLiC-it 2017 - [c222]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: 1-7 - [c221]Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Temporal Semantic Analysis of Conference Proceedings. ECIR 2017: 762-765 - [c220]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data. ESWC (1) 2017: 169-183 - [c219]Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro:
Empathic Inclination from Digital Footprints. IIR 2017: 24-27 - [c218]