David Massimo

According to our database, David Massimo authored at least 28 papers between 2014 and 2024.

Collaborative distances:

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

2024

Simulation of recommender systems driven tourism promotion campaigns.

Greta Piliponyte, David Massimo, Francesco Ricci

J. Inf. Technol. Tour., September, 2024

2023

Estimation of Mass and Lengths of Sintered Workpieces Using Machine Learning Models.

David Massimo, Elias Ganthaler, Attaullah Buriro, Francesco Barile, Marco Moraschini, Anton Dignös, Thomas Villgrattner, Angelika Peer, Francesco Ricci

IEEE Trans. Instrum. Meas., 2023

The Impact of Personalised Advertisement Campaigns on Tourist Choices in South Tyrol: A Sustainable Tourism Perspective.

Greta Piliponyte, David Massimo, Francesco Ricci

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations.

David Massimo, Francesco Ricci

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems.

Katharina Hofschen, David Massimo, Francesco Ricci

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Behaviour-aware Tourist Profiles Data Generation.

Pavel Merinov, David Massimo, Francesco Ricci

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration.

David Massimo, Francesco Ricci

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

2022

Building Effective Recommender Systems for Tourists.

David Massimo, Francesco Ricci

AI Mag., 2022

Sustainability driven Recommender Systems.

Pavel Merinov, David Massimo, Francesco Ricci

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Inverse Reinforcement Learning and Point of Interest Recommendations.

David Massimo, Francesco Ricci

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities.

Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani

Proceedings of the Business Process Management Forum, 2022

2021

Popularity, novelty and relevance in point of interest recommendation: an experimental analysis.

David Massimo, Francesco Ricci

J. Inf. Technol. Tour., 2021

Challenges for Recommender Systems Evaluation.

Francesco Ricci, David Massimo, Antonella De Angeli

Proceedings of the 14th Biannual Conference of the Italian SIGCHI Chapter, 2021

2020

Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data.

David Massimo, Francesco Ricci

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

2019

Users' Evaluation of Next-POI Recommendations.

David Massimo, Francesco Ricci

Proceedings of the Workshop on Recommenders in Tourism co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Clustering Users' POIs Visit Trajectories for Next-POI Recommendation.

David Massimo, Francesco Ricci

Proceedings of the Information and Communication Technologies in Tourism 2019, 2019

Tangible Decision-making in Sensors Augmented Spaces.

David Massimo, Francesco Ricci

Proceedings of the Discussion and Doctoral Consortium papers of AI*IA 2019, 2019

2018

Harnessing a generalised user behaviour model for next-POI recommendation.

David Massimo, Francesco Ricci

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

User Behaviour Analysis in a Simulated IoT Augmented Space.

David Massimo, Elena Not, Francesco Ricci

Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

User Preference Modeling and Exploitation in IoT Scenarios.

David Massimo

Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model.

David Massimo, Francesco Ricci

Proceedings of the 9th Italian Information Retrieval Workshop, 2018

Tangible Tourism with the Internet of Things.

Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not, Francesco Ricci, Adriano Venturini

Proceedings of the Information and Communication Technologies in Tourism 2018, 2018

2017

Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space.

David Massimo, Mehdi Elahi, Francesco Ricci

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System.

David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2015

Health-aware Food Recommender System.

Mouzhi Ge, Francesco Ricci, David Massimo

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Interaction Design in a Mobile Food Recommender System.

Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo

Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2015

Using Tags and Latent Factors in a Food Recommender System.

Mouzhi Ge, Mehdi Elahi, Ignacio Fernández-Tobías, Francesco Ricci, David Massimo

Proceedings of the 5th International Conference on Digital Health 2015, 2015

2014

Interactive Food Recommendation for Groups.

Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014