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Enrico Palumbo

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2020 – today

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2024
[c23]
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Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard:
Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? RecSys 2024: 340-349
[c22]
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Henrik Lindstrom, Humberto Jesús Corona Pampín, Enrico Palumbo, Alva Liu:
Encouraging Exploration in Spotify Search through Query Recommendations. RecSys 2024: 775-777
[c21]
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Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo:
The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). RecSys 2024: 1250-1252
[c20]
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Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo, Hugues Bouchard:
Structural Podcast Content Modeling with Generalizability. WWW (Companion Volume) 2024: 710-713
[c19]
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Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas:
Towards Graph Foundation Models for Personalization. WWW (Companion Volume) 2024: 1798-1802
[i6]
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  - journals/corr/abs-2403-07478
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Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas:
Towards Graph Foundation Models for Personalization. CoRR abs/2403.07478 (2024)
[i5]
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  - journals/corr/abs-2405-19749
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Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri:
Generating Query Recommendations via LLMs. CoRR abs/2405.19749 (2024)
2023
[c18]
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Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Kay Rottmann, Alessandro Manzotti, Enrico Palumbo, Davide Bernardi:
Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses. ACL (industry) 2023: 235-247
[c17]
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Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan:
Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 2023: 4780-4786
[c16]
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Alva Liu, Humberto Jesús Corona Pampín, Enrico Palumbo:
Bootstrapping Query Suggestions in Spotify's Instant Search System. SIGIR 2023: 3230-3234
[c15]
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Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard:
Improving Content Retrievability in Search with Controllable Query Generation. WWW 2023: 3182-3192
[i4]
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  - journals/corr/abs-2303-11648
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Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard:
Improving Content Retrievability in Search with Controllable Query Generation. CoRR abs/2303.11648 (2023)
2022
[c14]
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Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902
[i3]
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  - journals/corr/abs-2206-07808
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Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022)
2020
[j6]
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  - journals/eswa/PalumboMRTB20
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Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
entity2rec: Property-specific knowledge graph embeddings for item recommendation. Expert Syst. Appl. 151: 113235 (2020)
[c13]
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  - conf/coling/PalumboMMMA20
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Enrico Palumbo, Andrea Mezzalira, Cristina Marco, Alessandro Manzotti, Daniele Amberti:
Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems. COLING (Industry) 2020: 44-49

2010 – 2019

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2019
[j5]
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Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio:
Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems. Inf. 10(5): 174 (2019)
[j4]
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Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy:
STEM: Stacked threshold-based entity matching for knowledge base generation. Semantic Web 10(1): 117-137 (2019)
[c12]
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Enrico Palumbo, Alberto Buzio, Andrea Gaiardo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
Tinderbook: Fall in Love with Culture. ESWC 2019: 590-605
2018
[j3]
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  - journals/ijitdm/CaroleoPOL0FACZ18
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Brunella Caroleo, Enrico Palumbo, Michele Osella, Antonio Lotito, Giuseppe Rizzo, Enrico Ferro, Antonio Attanasio, Silvia Chiusano, Giulio Zuccaro, Mattia Leone, Daniela De Gregorio:
A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects for Disaster Management. Int. J. Inf. Technol. Decis. Mak. 17(5): 1469-1498 (2018)
[j2]
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  - journals/information/CarducciRMPM18
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Giulio Carducci, Giuseppe Rizzo, Diego Monti, Enrico Palumbo, Maurizio Morisio:
TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning. Inf. 9(5): 127 (2018)
[c11]
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Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation. DL4KGS@ESWC 2018: 14-20
[c10]
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Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
Knowledge Graph Embeddings with node2vec for Item Recommendation. ESWC (Satellite Events) 2018: 117-120
[c9]
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Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
Translational Models for Item Recommendation. ESWC (Satellite Events) 2018: 478-490
[c8]
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Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Pasquale Lisena, Raphaël Troncy, Michael Fell, Elena Cabrio, Maurizio Morisio:
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion. RecSys Challenge 2018: 13:1-13:6
[e1]
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Michael Cochez, Thierry Declerck, Gerard de Melo, Luis Espinosa Anke, Besnik Fetahu, Dagmar Gromann, Mayank Kejriwal, Maria Koutraki, Freddy Lécué, Enrico Palumbo, Harald Sack:
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), Heraklion, Crete, Greece, June 4, 2018. CEUR Workshop Proceedings 2106, CEUR-WS.org 2018 [contents]
[i2]
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  - journals/corr/abs-1810-04956
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Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio:
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems. CoRR abs/1810.04956 (2018)
[i1]
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  - journals/corr/abs-1812-04367
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Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Maurizio Morisio:
Semantic Trails of City Explorations: How Do We Live a City. CoRR abs/1812.04367 (2018)
2017
[j1]
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Raphaël Troncy, Giuseppe Rizzo, Anthony Jameson, Óscar Corcho, Julien Plu, Enrico Palumbo, Juan Carlos Ballesteros Hermida, Adrian Spirescu, Kai-Dominik Kuhn, Catalin-Mihai Barbu, Matteo Rossi, Irene Celino, Rachit Agarwal, Christian Scanu, Massimo Valla, Timber Haaker:
3cixty: Building comprehensive knowledge bases for city exploration. J. Web Semant. 46-47: 2-13 (2017)
[c7]
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  - conf/compsac/CaroleoPOPF17
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Brunella Caroleo, Elisa Pautasso, Michele Osella, Enrico Palumbo, Enrico Ferro:
Assessing the Impacts of Electric Vehicles Uptake: A System Dynamics Approach. COMPSAC (2) 2017: 790-795
[c6]
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Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks. RecTour@RecSys 2017: 1-8
[c5]
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Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy:
entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation. RecSys 2017: 32-36
[c4]
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  - conf/semeval/TroncyPSR17
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Raphaël Troncy, Enrico Palumbo, Efstratios Sygkounas, Giuseppe Rizzo:
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification. SemEval@ACL 2017: 648-652
2016
[c3]
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Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy:
An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge. DSMM@SIGMOD 2016: 14:1-14:2
2015
[c2]
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  - conf/icmcs/AllasiaP15
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Walter Allasia, Enrico Palumbo:
A complex network model of semantic memory impairments. ICME Workshops 2015: 1-6
[c1]
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Enrico Palumbo, Walter Allasia:
Semantic Similarity Between Images: A Novel Approach Based on a Complex Network of Free Word Associations. SISAP 2015: 170-175

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