A complex network model of semantic memory impairments. - Walter Allasia; Enrico Palumbo (ICME Workshops, 2015)

Semantic Similarity Between Images: A Novel Approach Based on a Complex Network of Free Word Associations. - Enrico Palumbo; Walter Allasia (SISAP, 2015)

An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge. - Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy (DSMM@SIGMOD, 2016)

Assessing the Impacts of Electric Vehicles Uptake: A System Dynamics Approach. - Brunella Caroleo; Elisa Pautasso; Michele Osella; Enrico Palumbo; Enrico Ferro (COMPSAC (2), 2017)

entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation. - Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy (RecSys, 2017)

Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks. - Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy; Elena Baralis (RecTour@RecSys, 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 002 (SemEval@ACL, 2017)

3cixty: Building comprehensive knowledge bases for city exploration. - Raphaël Troncy; Giuseppe Rizzo 002; Anthony Jameson; Óscar Corcho; Julien Plu; Enrico Palumbo; Juan Carlos Ballesteros Hermida; Adrian Spirescu; Kai-Dominik Kuhn; Catalin-Mihai Barbu; Matteo Rossi 001; Irene Celino; et al. (J. Web Semant., 2017)

An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation. - Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy; Elena Baralis; Michele Osella; Enrico Ferro (DL4KGS@ESWC, 2018)

Knowledge Graph Embeddings with node2vec for Item Recommendation. - Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy; Elena Baralis; Michele Osella; Enrico Ferro (ESWC (Satellite Events), 2018)

Translational Models for Item Recommendation. - Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy; Elena Baralis; Michele Osella; Enrico Ferro (ESWC (Satellite Events), 2018)

An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion. - Diego Monti; Enrico Palumbo; Giuseppe Rizzo 002; Pasquale Lisena; Raphaël Troncy; Michael Fell; Elena Cabrio; Maurizio Morisio (RecSys Challenge, 2018)

Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems. - Diego Monti; Enrico Palumbo; Giuseppe Rizzo 002; Maurizio Morisio (CoRR, 2018)

Semantic Trails of City Explorations: How Do We Live a City. - Diego Monti; Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy; Maurizio Morisio (CoRR, 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 002; Enrico Ferro; Antonio Attanasio; Silvia Chiusano; Giulio Zuccaro; Mattia Leone; Daniela De Gregorio (Int. J. Inf. Technol. Decis. Mak., 2018)

TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning. - Giulio Carducci; Giuseppe Rizzo 002; Diego Monti; Enrico Palumbo; Maurizio Morisio (Inf., 2018)

Tinderbook: Fall in Love with Culture. - Enrico Palumbo; Alberto Buzio; Andrea Gaiardo 001; Giuseppe Rizzo 002; Raphaël Troncy; Elena Baralis (ESWC, 2019)

Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems. - Diego Monti; Enrico Palumbo; Giuseppe Rizzo 002; Maurizio Morisio (Inf., 2019)

STEM: Stacked threshold-based entity matching for knowledge base generation. - Enrico Palumbo; Giuseppe Rizzo 002; Raphaël Troncy (Semantic Web, 2019)

Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems. - Enrico Palumbo; Andrea Mezzalira; Cristina Marco; Alessandro Manzotti; Daniele Amberti (COLING (Industry), 2020)

entity2rec: Property-specific knowledge graph embeddings for item recommendation. - Enrico Palumbo; Diego Monti; Giuseppe Rizzo 002; Raphaël Troncy; Elena Baralis (Expert Syst. Appl., 2020)

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 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (KDD, 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 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (CoRR, 2022)

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 (ACL (industry), 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; et al. (CIKM, 2023)

Bootstrapping Query Suggestions in Spotify's Instant Search System. - Alva Liu; Humberto Jesús Corona Pampín; Enrico Palumbo (SIGIR, 2023)

Improving Content Retrievability in Search with Controllable Query Generation. - Gustavo Penha; Enrico Palumbo; Maryam Aziz; Alice Wang; Hugues Bouchard (WWW, 2023)

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 007; Enrico Palumbo (RecSys, 2024)

Encouraging Exploration in Spotify Search through Query Recommendations. - Henrik Lindstrom; Humberto Jesús Corona Pampín; Enrico Palumbo; Alva Liu (RecSys, 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 (RecSys, 2024)

Towards Graph Foundation Models for Personalization. - Andreas Damianou; Francesco Fabbri; Paul Gigioli; Marco De Nadai; Alice Wang; Enrico Palumbo; Mounia Lalmas (WWW (Companion Volume), 2024)

Structural Podcast Content Modeling with Generalizability. - Yijun Tian 001; Maryam Aziz; Alice Wang; Enrico Palumbo; Hugues Bouchard (WWW (Companion Volume), 2024)

Generating Query Recommendations via LLMs. - Andrea Bacciu; Enrico Palumbo; Andreas Damianou; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. - Yashar Deldjoo; Scott Sanner; Enrico Palumbo; Hugues Bouchard; Shuai Zhang 007; Pablo Castells; Julian J. McAuley (SIGIR, 2025)

Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval. - Enrico Palumbo; Gustavo Penha; Andreas Damianou; José Luis Redondo García; Timothy Christopher Heath; Alice Wang; Hugues Bouchard; Mounia Lalmas (CoRR, 2025)

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment. - Adam Yang; Gustavo Penha; Enrico Palumbo; Hugues Bouchard (CoRR, 2025)

Semantic IDs for Joint Generative Search and Recommendation. - 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 (CoRR, 2025)