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2020 – today
- 2023
[j39]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)- [j38]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
- [j37]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) - [c158]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 - [c157]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 - [c156]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 - [c155]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 - [e14]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] - [r4]Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro:
Semantics and Content-Based Recommendations. Recommender Systems Handbook 2022: 251-298 - 2021
- [j36]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) - [j35]Vasilis Kopsachilis, Lucia Siciliani, Marco Polignano, Polichronis Kolokoussis, Michail Vaitis, Marco de Gemmis, Konstantinos N. Topouzelis:
Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images. Inf. 12(8): 321 (2021) - [j34]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Context-aware graph-based recommendations exploiting Personalized PageRank. Knowl. Based Syst. 216: 106806 (2021) - [j33]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) - [j32]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) - [c154]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
Comparing Transformer-based NER approaches for analysing textual medical diagnoses. CLEF (Working Notes) 2021: 818-833 - [c153]Pierluigi Cassotti, Andrea Iovine, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Emerging Trends in Gender-Specific Occupational Titles in Italian Newspapers. CLiC-it 2021 - [c152]Lucia Siciliani, Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Extracting Relations from Italian Wikipedia using Self-Training. CLiC-it 2021 - [c151]Pierluigi Cassotti, Lucia Siciliani, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops:
Extracting Relations from Italian Wikipedia using Unsupervised Information Extraction. IIR 2021 - [c150]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
An Investigation on the Impact of Natural Language on Conversational Recommendations. IIR 2021 - [c149]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 - [c148]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 - [c147]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 - [e13]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
- [j31]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) - [j30]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) - [j29]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) - [c146]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 - [c145]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 - [c144]Pierluigi Cassotti, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Analysis of Lexical Semantic Changes in Corpora with the Diachronic Engine. CLiC-it 2020 - [c143]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 - [c142]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 - [c141]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. EAIS 2020: 1-7 - [c140]Dario Esposito, Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Davide Primiceri, Stefano Lisi, Mauro Casaburi, Giorgio Basile, Matteo Mennitti, Valentina Carella, Vito Manzari:
DECiSION: Data-drivEn Customer Service InnovatiON. ICCSA (4) 2020: 94-103 - [c139]Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances. ICCSA (4) 2020: 135-149 - [c138]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 - [c137]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 - [c136]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 - [c135]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 - [c134]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 - [e12]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
- [j28]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) - [c133]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 - [c132]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Hate Speech Detection through AlBERTo Italian Language Understanding Model. NL4AI@AI*IA 2019 - [c131]Andrea Iovine, Fedelucio Narducci, Marco de Gemmis:
A Dataset of Real Dialogues for Conversational Recommender Systems. CLiC-it 2019 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. UMAP 2019: 4-12 - [c125]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 - [c124]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 - [e11]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
- [j27]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) - [c123]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Improving the User Experience with a Conversational Recommender System. AI*IA 2018: 528-538 - [c122]Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Framework for Building Chat-based Recommender Systems. CIKM Workshops 2018 - [c121]Pierpaolo Basile, Marco de Gemmis, Lucia Siciliani, Giovanni Semeraro:
Overview of the EVALITA 2018 Solving Language Games (NLP4FUN) Task. EVALITA@CLiC-it 2018 - [c120]Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
An Emotion-driven Approach for Aspect-based Opinion Mining. IIR 2018 - [c119]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 - [c118]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 - [c117]Marko Tkalcic, Marco de Gemmis:
UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List. UMAP (Adjunct Publication) 2018: 1-2 - [c116]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 - [c115]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 - [c114]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 - [c113]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 - [p9]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 - [e10]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] - [r3]Marco de Gemmis, Pasquale Lops, Marco Polignano:
Recommender Systems, Basics of. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j26]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) - [j25]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) - [j24]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: 87-95 (2017) - [c112]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 - [c111]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 - [c110]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 - [c109]Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Temporal Semantic Analysis of Conference Proceedings. ECIR 2017: 762-765 - [c108]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 - [c107]Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro:
Empathic Inclination from Digital Footprints. IIR 2017: 24-27 - [c106]Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops:
A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews. RecSys 2017: 321-325 - [c105]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: 384-385 - [c104]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Recommender Systems in the Internet of Talking Things (IoTT). RecSys Posters 2017 - [c103]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: 202-211 - [c102]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features. UMAP 2017: 375-376 - [c101]Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro:
Learning Inclination to Empathy from Social Media Footprints. UMAP 2017: 383-384 - [c100]Marco Polignano, Pierpaolo Basile, Gaetano Rossiello, Marco de Gemmis, Giovanni Semeraro:
User's Social Media Profile as Predictor of Empathy. UMAP (Adjunct Publication) 2017: 386-390 - [p8]Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
Introduction to Emotions and Personality in Personalized Systems. Emotions and Personality in Personalized Services 2017: 3-11 - [p7]Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations. Emotions and Personality in Personalized Services 2017: 357-376 - [e9]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen:
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. CEUR Workshop Proceedings 1884, CEUR-WS.org 2017 [contents] - 2016
- [j23]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: 15-31 (2016) - [j22]Marco Degemmis, Berardina De Carolis, Andrej Kosir, Marko Tkalcic:
Preface to the Focus Section. IxD&A 28: 105-109 (2016) - [j21]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): 13-26 (2016) - [c99]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 - [c98]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems. ECIR 2016: 729-734 - [c97]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: 151-154 - [c96]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: 405-406 - [c95]Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir:
4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). RecSys 2016: 407 - [c94]Cataldo Musto, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. UMAP 2016: 229-237 - [c93]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: 307-308 - [e8]Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir:
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. CEUR Workshop Proceedings 1680, CEUR-WS.org 2016 [contents] - [e7]Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
Emotions and Personality in Personalized Services - Models, Evaluation and Applications. Human-Computer Interaction Series, Springer 2016, ISBN 978-3-319-31411-2 [contents] - 2015
- [j20]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: 157-181 (2015) - [j19]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Georgios Lekkas:
Personalized finance advisory through case-based recommender systems and diversification strategies. Decis. Support Syst. 77: 100-111 (2015) - [j18]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems. Intelligenza Artificiale 9(1): 89-103 (2015) - [j17]Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Cataldo Musto:
An investigation on the serendipity problem in recommender systems. Inf. Process. Manag. 51(5): 695-717 (2015) - [j16]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
CrowdPulse: A framework for real-time semantic analysis of social streams. Inf. Syst. 54: 127-146 (2015) - [c92]Marco Polignano, Marco de Gemmis:
Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality. DC@AI*IA 2015: 43-48 - [c91]Paolo Tomeo, Tommaso Di Noia, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Eugenio Di Sciascio:
Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity. CBRecSys@RecSys 2015: 2-9 - [c90]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops:
A General Architecture for an Emotion-aware Content-based Recommender System. EMPIRE@RecSys 2015: 3-6 - [c89]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: 10-13 - [c88]Berardina De Carolis, Marco de Gemmis, Pasquale Lops:
A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems. EMPIRE@RecSys 2015: 11-18 - [c87]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. RecSys Posters 2015 - [c86]Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems. RecSys 2015: 343-344 - [c85]Pierpaolo Basile, Annalina Caputo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Modeling Short-Term Preferences in Time-Aware Recommender Systems. UMAP Workshops 2015 - [c84]