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Pasquale Lops
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Publications
- 2023
- [j44]Pasquale Lops, Marco Polignano, Cataldo Musto, Antonio Silletti, Giovanni Semeraro:
ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems. Inf. Syst. 119: 102273 (2023) - [c164]Pierluigi Amodio, Lucia Siciliani, Linda Antonella Antonucci, Cristiano Tamborrino, Pierpaolo Basile, Paolo Taurisano, Marco de Gemmis, Felice Iavernaro, Pasquale Lops, Francesca Mazzia, Cataldo Musto, Marco Polignano, Giovanni Semeraro:
Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research). Ital-IA 2023: 341-346 - [c163]Pasquale Lops, Elio Musacchio, Cataldo Musto, Marco Polignano, Antonio Silletti, Giovanni Semeraro:
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. RecSys 2023: 554-564 - [c161]Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. UMAP 2023: 1-12 - [c160]Pasquale Lops, Cataldo Musto, Marco Polignano:
Accountable Knowledge-aware Recommender Systems. UMAP 2023: 306-308 - 2022
- [c159]Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Exploiting Neuro-Symbolic Graph Embeddings based on First-Order Logical Rules for Knowledge-aware Recommendations. DP@AI*IA 2022: 1-11 - [c157]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 - [c156]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]Pasquale Lops, Cataldo Musto, Marco Polignano:
Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe). UMAP 2022: 354-356 - [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) - [c153]Cataldo Musto, Pasquale Lops, Giovanni Semeraro:
Fairness and Popularity Bias in Recommender Systems: an Empirical Evaluation. DP@AI*IA 2021: 77-91 - [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 - 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 - [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 - [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 - [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 - 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 - [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 - [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] - 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) - [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 - 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) - [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) - [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 - [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 - [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 - [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 - 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) - [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 - [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] - 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) - [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 - [c98]Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops:
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation. RecSys Posters 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 - [r2]Marco de Gemmis, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Semantics-Aware Content-Based Recommender Systems. Recommender Systems Handbook 2015: 119-159 - 2014
- [c92]Pierpaolo Basile, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro:
Content-Based Recommender Systems + DBpedia Knowledge = Semantics-Aware Recommender Systems. SemWebEval@ESWC 2014: 163-169 - [c91]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci, Luciana Bordoni, Mauro Annunziato, Claudia Meloni, Franco F. Orsucci, Giulia Paoloni:
Developing a Semantic Content Analyzer for L'Aquila Social Urban Network. IIR 2014: 34-38 - [c89]Cataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Linked Open Data-enabled Strategies for Top-N Recommendations. CBRecSys@RecSys 2014: 49-56 - [c88]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Georgios Lekkas:
Financial Product Recommendation through Case-based Reasoning and Diversification Techniques. RecSys Posters 2014 - [c86]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation. UMAP 2014: 381-392 - 2013
- [j17]Luciana Bordoni, Liliana Ardissono, Juan A. Barceló, Antonio Chella, Marco de Gemmis, Cristina Gena, Leo Iaquinta, Pasquale Lops, Francesco Mele, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Antonio Sorgente:
The contribution of AI to enhance understanding of Cultural Heritage. Intelligenza Artificiale 7(2): 101-112 (2013) - [j16]Giovanni Semeraro, Pierpaolo Basile, Roberto Basili, Marco de Gemmis, Chiara Ghidini, Maurizio Lenzerini, Pasquale Lops, Alessandro Moschitti, Cataldo Musto, Fedelucio Narducci, Arianna Pipitone, Roberto Pirrone, Piero Poccianti, Luciano Serafini:
Semantic technologies for industry: From knowledge modeling and integration to intelligent applications. Intelligenza Artificiale 7(2): 125-137 (2013) - [j15]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Cataldo Musto, Fedelucio Narducci:
Content-based and collaborative techniques for tag recommendation: an empirical evaluation. J. Intell. Inf. Syst. 40(1): 41-61 (2013) - [c84]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics. EC-Web 2013: 125-136 - [c83]Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems. EC-Web 2013: 182-193 - [c82]Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Myusic: a Content-based Music Recommender System based on eVSM and Social Media. IIR 2013: 65-72 - [c81]Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists. IIR 2013: 84-87 - [c77]Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles. UMAP 2013: 350-352 - 2012
- [j11]Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Cataldo Musto, Fedelucio Narducci:
A folksonomy-based recommender system for personalized access to digital artworks. ACM Journal on Computing and Cultural Heritage 5(3): 11:1-11:22 (2012) - [c74]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci:
Leveraging Social Media Sources to Generate Personalized Music Playlists. EC-Web 2012: 112-123 - [c73]Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering. IIR 2012: 117-120 - [c72]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri, Jan H. M. Korst, Verus Pronk, Ramon Clout:
TV-Show Retrieval and Classification. IIR 2012: 179-182 - [c69]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri, Jan H. M. Korst, Verus Pronk, Ramon Clout:
Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides. UMAP 2012: 188-199 - 2011
- [c67]Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models. AI*IA 2011: 250-261 - [c66]Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Random Indexing and Negative User Preferences for Enhancing Content-Based Recommender Systems. EC-Web 2011: 270-281 - [c65]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro:
Learning semantic content-based profiles for cross-language recommendations. PMHR@HT 2011: 26-33 - [c64]Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Random Indexing for Content-Based Recommender Systems. IIR 2011 - [c62]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Fedelucio Narducci, Cataldo Musto:
Leveraging the linkedin social network data for extracting content-based user profiles. RecSys 2011: 293-296 - 2010
- [c59]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro:
Cross-Language Personalization through a Semantic Content-Based Recommender System. AIMSA 2010: 52-60 - [c58]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis:
Combining Collaborative and Content-Based Techniques for Tag Recommendation. EC-Web 2010: 13-23 - [c57]Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
An IR-Based Approach for Tag Recommendation. IIR 2010: 65-69 - [c54]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage. IRCDL 2010: 27-38 - [c53]Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro:
MARS: a MultilAnguage Recommender System. HetRec@RecSys 2010: 24-31 - [p4]Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Learning Preference Models in Recommender Systems. Preference Learning 2010: 387-407 - 2009
- [c51]Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco Degemmis, Giovanni Semeraro:
Content-Based Personalization Services Integrating Folksonomies. EC-Web 2009: 217-228 - [c47]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Paolo Gissi, Cataldo Musto, Fedelucio Narducci:
Content-Based Filtering with Tags: The FIRSt System. ISDA 2009: 255-260 - [c44]Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
STaR: a Social Tag Recommender System. DC@PKDD/ECML 2009 - [c42]Pierpaolo Basile, Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
SpIteR: A Module for Recommending Dynamic Personalized Museum Tours. Web Intelligence 2009: 584-587 - [p2]Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Cataldo Musto, Fedelucio Narducci, Massimo Bux:
A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access. Web Personalization in Intelligent Environments 2009: 27-47
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