Enrico Palumbo

45 papers A* 4A 7B 2Journal 18Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment. CoRR Adam Yang, Gustavo Penha, Enrico Palumbo, Hugues Bouchard
2025	J	`jnl`	AudioBoost: Increasing Audiobook Retrievability in Spotify Search with Synthetic Query Generation. CoRR Enrico Palumbo, Gustavo Penha, Alva Liu, Marcus Eltscheminov, Jefferson Carvalho dos Santos, Alice Wang, Hugues Bouchard, Humberto Jesús Corona Pampín, Michelle Tran Luu
2025	J	`jnl`	Do LLM-judges Align with Human Relevance in Cranfield-style Recommender Evaluation? CoRR Gustavo Penha, Aleksandr V. Petrov, Claudia Hauff, Enrico Palumbo, Ali Vardasbi, Edoardo D'Amico, Francesco Fabbri, Alice Wang, Praveen Chandar, Henrik Lindström, Hugues Bouchard, Mounia Lalmas
2025	A*	`conf`	GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. SIGIR Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025	A	`conf`	Semantic IDs for Joint Generative Search and Recommendation. RecSys Gustavo Penha, Edoardo D'Amico, Marco De Nadai, Enrico Palumbo, Alexandre Tamborrino, Ali Vardasbi, Max Lefarov, Shawn Lin, Timothy Christopher Heath, Francesco Fabbri, Hugues Bouchard
2025	J	`jnl`	Semantic IDs for Joint Generative Search and Recommendation. CoRR Gustavo Penha, Edoardo D'Amico, Marco De Nadai, Enrico Palumbo, Alexandre Tamborrino, Ali Vardasbi, Max Lefarov, Shawn Lin, Timothy Christopher Heath, Francesco Fabbri, Hugues Bouchard
2025	J	`jnl`	Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval. CoRR Enrico Palumbo, Gustavo Penha, Andreas Damianou, José Luis Redondo García, Timothy Christopher Heath, Alice Wang, Hugues Bouchard, Mounia Lalmas
2025	A	`conf`	You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify. RecSys Enrico Palumbo, Marcus Isaksson, Alexandre Tamborrino, Maria Movin, Catalin Dincu, Ali Vardasbi, Lev Nikeshkin, Oksana Gorobets, Anders Nyman, Poppy Newdick, Hugues Bouchard, Paul N. Bennett, Mounia Lalmas, Dani Doro, Christine Doig Cardet, Ziad Sultan
2024	A	`conf`	Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? RecSys Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard
2024	J	`jnl`	Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? CoRR Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard
2024	A	`conf`	Encouraging Exploration in Spotify Search through Query Recommendations. RecSys Henrik Lindstrom, Humberto Jesús Corona Pampín, Enrico Palumbo, Alva Liu
2024	J	`jnl`	Generating Query Recommendations via LLMs. CoRR Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri
2024	—	`conf`	Structural Podcast Content Modeling with Generalizability. WWW (Companion Volume) Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo, Hugues Bouchard
2024	A	`conf`	The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). RecSys Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo
2024	—	`conf`	Towards Graph Foundation Models for Personalization. WWW (Companion Volume) Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas
2024	J	`jnl`	Towards Graph Foundation Models for Personalization. CoRR Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas
2023	A*	`conf`	Bootstrapping Query Suggestions in Spotify's Instant Search System. SIGIR Alva Liu, Humberto Jesús Corona Pampín, Enrico Palumbo
2023	A	`conf`	Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 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
2023	A*	`conf`	Improving Content Retrievability in Search with Controllable Query Generation. WWW Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard
2023	J	`jnl`	Improving Content Retrievability in Search with Controllable Query Generation. CoRR Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard
2023	—	`conf`	Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses. ACL (industry) Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Kay Rottmann, Alessandro Manzotti, Enrico Palumbo, Davide Bernardi
2022	A*	`conf`	Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 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
2022	J	`jnl`	Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR 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
2020	—	`conf`	Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems. COLING (Industry) Enrico Palumbo, Andrea Mezzalira, Cristina Marco, Alessandro Manzotti, Daniele Amberti
2020	J	`jnl`	entity2rec: Property-specific knowledge graph embeddings for item recommendation. Expert Syst. Appl. Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis
2019	J	`jnl`	STEM: Stacked threshold-based entity matching for knowledge base generation. Semantic Web Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy
2019	J	`jnl`	Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems. Inf. Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio
2019	B	`conf`	Tinderbook: Fall in Love with Culture. ESWC Enrico Palumbo, Alberto Buzio, Andrea Gaiardo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis
2018	J	`jnl`	A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects for Disaster Management. Int. J. Inf. Technol. Decis. Mak. Brunella Caroleo, Enrico Palumbo, Michele Osella, Antonio Lotito, Giuseppe Rizzo, Enrico Ferro, Antonio Attanasio, Silvia Chiusano, Giulio Zuccaro, Mattia Leone, Daniela De Gregorio
2018	—	`conf`	An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation. DL4KGS@ESWC Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro
2018	—	`conf`	An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion. RecSys Challenge Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Pasquale Lisena, Raphaël Troncy, Michael Fell, Elena Cabrio, Maurizio Morisio
2018	—	`conf`	Knowledge Graph Embeddings with node2vec for Item Recommendation. ESWC (Satellite Events) Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro
2018	—	`ed.`	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. DL4KGS@ESWC Michael Cochez, Thierry Declerck, Gerard de Melo, Luis Espinosa Anke, Besnik Fetahu, Dagmar Gromann, Mayank Kejriwal, Maria Koutraki, Freddy Lécué, Enrico Palumbo, Harald Sack
2018	J	`jnl`	Semantic Trails of City Explorations: How Do We Live a City. CoRR Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Maurizio Morisio
2018	J	`jnl`	Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems. CoRR Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio
2018	—	`conf`	Translational Models for Item Recommendation. ESWC (Satellite Events) Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro
2018	J	`jnl`	TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning. Inf. Giulio Carducci, Giuseppe Rizzo, Diego Monti, Enrico Palumbo, Maurizio Morisio
2017	J	`jnl`	3cixty: Building comprehensive knowledge bases for city exploration. J. Web Semant. 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
2017	—	`conf`	Assessing the Impacts of Electric Vehicles Uptake: A System Dynamics Approach. COMPSAC (2) Brunella Caroleo, Elisa Pautasso, Michele Osella, Enrico Palumbo, Enrico Ferro
2017	—	`conf`	Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks. RecTour@RecSys Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis
2017	—	`conf`	SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification. SemEval@ACL Raphaël Troncy, Enrico Palumbo, Efstratios Sygkounas, Giuseppe Rizzo
2017	A	`conf`	entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation. RecSys Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy
2016	—	`conf`	An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge. DSMM@SIGMOD Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy
2015	—	`conf`	A complex network model of semantic memory impairments. ICME Workshops Walter Allasia, Enrico Palumbo
2015	B	`conf`	Semantic Similarity Between Images: A Novel Approach Based on a Complex Network of Free Word Associations. SISAP Enrico Palumbo, Walter Allasia