Enrico Palumbo

According to our database, Enrico Palumbo authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Generating Query Recommendations via LLMs.

Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri

CoRR, 2024

Structural Podcast Content Modeling with Generalizability.

Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo, Hugues Bouchard

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Graph Foundation Models for Personalization.

Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?

Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Encouraging Exploration in Spotify Search through Query Recommendations.

Henrik Lindstrom, Humberto Jesús Corona Pampín, Enrico Palumbo, Alva Liu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN).

Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Improving Content Retrievability in Search with Controllable Query Generation.

Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard

Proceedings of the ACM Web Conference 2023, 2023

Bootstrapping Query Suggestions in Spotify's Instant Search System.

Alva Liu, Humberto Jesús Corona Pampín, Enrico Palumbo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Learning for Exploratory Query Suggestions in an Instant Search System.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses.

Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Kay Rottmann, Alessandro Manzotti, Enrico Palumbo, Davide Bernardi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

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

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

entity2rec: Property-specific knowledge graph embeddings for item recommendation.

Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis

Expert Syst. Appl., 2020

Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems.

Enrico Palumbo, Andrea Mezzalira, Cristina Marco, Alessandro Manzotti, Daniele Amberti

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

STEM: Stacked threshold-based entity matching for knowledge base generation.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy

Semantic Web, 2019

Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio

Inf., 2019

Tinderbook: Fall in Love with Culture.

Enrico Palumbo, Alberto Buzio, Andrea Gaiardo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis

Proceedings of the Semantic Web - 16th International Conference, 2019

2018

TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning.

Giulio Carducci, Giuseppe Rizzo, Diego Monti, Enrico Palumbo, Maurizio Morisio

Inf., 2018

A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects for Disaster Management.

Brunella Caroleo, Enrico Palumbo, Michele Osella, Antonio Lotito, Giuseppe Rizzo, Enrico Ferro, Antonio Attanasio, Silvia Chiusano, Giulio Zuccaro, Mattia Leone, Daniela De Gregorio

Int. J. Inf. Technol. Decis. Mak., 2018

Semantic Trails of City Explorations: How Do We Live a City.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Maurizio Morisio

CoRR, 2018

Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio

CoRR, 2018

An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion.

Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Pasquale Lisena, Raphaël Troncy, Michael Fell, Elena Cabrio, Maurizio Morisio

Proceedings of the ACM Recommender Systems Challenge, 2018

Translational Models for Item Recommendation.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro

Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

Knowledge Graph Embeddings with node2vec for Item Recommendation.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro

Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro

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), 2018

2017

3cixty: Building comprehensive knowledge bases for city exploration.

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

J. Web Semant., 2017

SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification.

Raphaël Troncy, Enrico Palumbo, Efstratios Sygkounas, Giuseppe Rizzo

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis

Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Assessing the Impacts of Electric Vehicles Uptake: A System Dynamics Approach.

Brunella Caroleo, Elisa Pautasso, Michele Osella, Enrico Palumbo, Enrico Ferro

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy

Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

2015

Semantic Similarity Between Images: A Novel Approach Based on a Complex Network of Free Word Associations.

Enrico Palumbo, Walter Allasia

Proceedings of the Similarity Search and Applications - 8th International Conference, 2015

A complex network model of semantic memory impairments.

Walter Allasia, Enrico Palumbo

Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015