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- affiliation: University of Bari "Aldo Moro", Italy
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2020 – today
- 2023
[j42]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
- [j41]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) - [j40]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) - [c157]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 - [c156]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: 1-3 - [c155]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 - [c154]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 - [c153]Pasquale Lops, Cataldo Musto, Marco Polignano:
Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe). UMAP 2022: 354-356 - [e18]Pasquale Lops, Pierpaolo Basile, Lucia Siciliani, Vincenzo Taccardi, Marco Di Ciano, Nicola Lopane:
Proceedings of 1st Workshop on AI for Public Administration co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine, Italy, November 28 - December 2, 2022. CEUR Workshop Proceedings 3285, CEUR-WS.org 2022 [contents] - [e17]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
- [j39]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Context-aware graph-based recommendations exploiting Personalized PageRank. Knowl. Based Syst. 216: 106806 (2021) - [j38]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) - [j37]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) - [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]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 - [c149]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 - [c148]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 - [e16]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] - [d1]Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD. Zenodo, 2021
- 2020
- [j36]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) - [j35]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) - [c147]Berardina Nadja De Carolis, Pasquale Lops, Cataldo Musto, Giovanni Semeraro:
Towards a Social Robot as Interface for Tourism Recommendations. cAESAR 2020: 28-33 - [c146]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 - [c145]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 - [c144]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 - [c143]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 - [c142]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 - [c141]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 - [c140]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 - [e15]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
- [b2]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 - [j34]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) - [j33]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): 239-249 (2019) - [c139]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 - [c138]Lucia Siciliani, Dennis Diefenbach, Pierre Maret, Pierpaolo Basile, Pasquale Lops:
Handling Modifiers in Question Answering over Knowledge Graphs. AI*IA 2019: 210-222 - [c137]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 - [c136]Pierpaolo Basile, Lucia Siciliani, Gaetano Rossiello, Pasquale Lops:
Distributional Representation of Words for Small Corpora using Pre-training Techniques. IIR 2019: 25-29 - [c135]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 - [c134]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 - [c133]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. UMAP 2019: 4-12 - [c132]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 - [e14]Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Markus Zanker, Pierpaolo Basile, Derek G. Bridge, Fedelucio Narducci:
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, KaRS@RecSys 2018, Vancouver, Canada, October 7, 2018. CEUR Workshop Proceedings 2290, CEUR-WS.org 2019 [contents] - [e13]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
- [j32]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) - [c131]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Improving the User Experience with a Conversational Recommender System. AI*IA 2018: 528-538 - [c130]Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Framework for Building Chat-based Recommender Systems. CIKM Workshops 2018 - [c129]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 - [c128]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 - [c127]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 - [c126]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: 521-522 - [c125]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 - [c124]Federica Cena, Amon Rapp, Cataldo Musto, Pasquale Lops:
Towards a Conceptual Model for Holistic Recommendations. UMAP (Adjunct Publication) 2018: 207-210 - [c123]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 - [c122]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 - [c121]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 - [p8]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 - [e12]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
- [j31]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) - [j30]Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro:
Power to the patients: The HealthNetsocial network. Inf. Syst. 71: 111-122 (2017) - [j29]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) - [j28]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) - [j27]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) - [c120]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 - [c119]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 - [c118]Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Temporal Semantic Analysis of Conference Proceedings. ECIR 2017: 762-765 - [c117]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 - [c116]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: 16-21 - [c115]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 - [c114]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 - [c113]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Recommender Systems in the Internet of Talking Things (IoTT). RecSys Posters 2017 - [c112]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 - [c111]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 - [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 - [e11]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
- [j26]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) - [j25]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) - [j24]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): 4:1-4:40 (2016) - [c110]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 - [c109]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems. ECIR 2016: 729-734 - [c108]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 - [c107]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 - [c106]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: 413-414 - [c105]Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro:
Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016). RecSys 2016: 419-420 - [c104]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 - [c103]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 - [e10]Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro:
Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016. CEUR Workshop Proceedings 1673, CEUR-WS.org 2016 [contents] - [e9]Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Nava Tintarev, Martijn C. Willemsen:
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016. CEUR Workshop Proceedings 1679, CEUR-WS.org 2016 [contents] - 2015
- [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [c102]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 - [c101]Fedelucio Narducci, Marco de Gemmis, Pasquale Lops:
A General Architecture for an Emotion-aware Content-based Recommender System. EMPIRE@RecSys 2015: 3-6 - [c100]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 - [c99]Berardina De Carolis, Marco de Gemmis, Pasquale Lops:
A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems. EMPIRE@RecSys 2015: 11-18 - [c98]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. RecSys Posters 2015 - [c97]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: 347-348 - [c96]Pierpaolo Basile, Annalina Caputo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Modeling Short-Term Preferences in Time-Aware Recommender Systems. UMAP Workshops 2015 - [c95]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: 81-82 - [c94]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Developing Smart Cities Services through Semantic Analysis of Social Streams. WWW (Companion Volume) 2015: 1401-1406 - [e8]John O'Donovan, Alexander Felfernig, Nava Tintarev, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops:
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2015, co-located with ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 19, 2015. CEUR Workshop Proceedings 1438, CEUR-WS.org 2015 [contents] - [r2]Marco de Gemmis, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Semantics-Aware Content-Based Recommender Systems. Recommender Systems Handbook 2015: 119-159 - [r1]Anthony Jameson, Martijn C. Willemsen, Alexander Felfernig, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Li Chen:
Human Decision Making and Recommender Systems. Recommender Systems Handbook 2015: 611-648 - 2014
- [c93]Annalina Caputo, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Gaetano Rossiello:
SABRE: A Sentiment Aspect-Based Retrieval Engine. DART@AI*IA (Revised and Invited Papers) 2014: 63-78 - [c92]