David Massimo

30 papers A 5C 2Journal 5Unranked 17
YearRankTypeTitle / Venue / Authors
2024 J jnl
Simulation of recommender systems driven tourism promotion campaigns.
J. Inf. Technol. Tour.
Greta Piliponyte, David Massimo, Francesco Ricci
2023 — conf
Behaviour-aware Tourist Profiles Data Generation.
IIR
Pavel Merinov, David Massimo, Francesco Ricci
2023 — conf
Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration.
IIR
David Massimo, Francesco Ricci
2023 A conf
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations.
UMAP
David Massimo, Francesco Ricci
2023 J jnl
Estimation of Mass and Lengths of Sintered Workpieces Using Machine Learning Models.
IEEE Trans. Instrum. Meas.
David Massimo, Elias Ganthaler, Attaullah Buriro, Francesco Barile, Marco Moraschini, Anton Dignös, Thomas Villgrattner, Angelika Peer, Francesco Ricci
2023 — conf
Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems.
UMAP (Adjunct Publication)
Katharina Hofschen, David Massimo, Francesco Ricci
2023 — conf
The Impact of Personalised Advertisement Campaigns on Tourist Choices in South Tyrol: A Sustainable Tourism Perspective.
UMAP (Adjunct Publication)
Greta Piliponyte, David Massimo, Francesco Ricci
2022 J jnl
Building Effective Recommender Systems for Tourists.
AI Mag.
David Massimo, Francesco Ricci
2022 — conf
Inverse Reinforcement Learning and Point of Interest Recommendations.
IIR
David Massimo, Francesco Ricci
2022 — conf
Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities.
BPM (Forum)
Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani
2022 J jnl
Learning to act: a Reinforcement Learning approach to recommend the best next activities.
CoRR
Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani
2022 — ed.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022.
IIR
Gabriella Pasi, Paolo Cremonesi, Salvatore Orlando, Markus Zanker, David Massimo, Gloria Turati
2022 — conf
Sustainability driven Recommender Systems.
IIR
Pavel Merinov, David Massimo, Francesco Ricci
2021 — conf
Challenges for Recommender Systems Evaluation.
CHItaly
Francesco Ricci, David Massimo, Antonella De Angeli
2021 J jnl
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis.
J. Inf. Technol. Tour.
David Massimo, Francesco Ricci
2020 — conf
Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data.
IUI Companion
David Massimo, Francesco Ricci
2019 C conf
Clustering Users' POIs Visit Trajectories for Next-POI Recommendation.
ENTER
David Massimo, Francesco Ricci
2019 — conf
Tangible Decision-making in Sensors Augmented Spaces.
DDC@AI*IA
David Massimo, Francesco Ricci
2019 — conf
Users' Evaluation of Next-POI Recommendations.
RecTour@RecSys
David Massimo, Francesco Ricci
2018 A conf
Harnessing a generalised user behaviour model for next-POI recommendation.
RecSys
David Massimo, Francesco Ricci
2018 — conf
Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model.
IIR
David Massimo, Francesco Ricci
2018 C conf
Tangible Tourism with the Internet of Things.
ENTER
Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not, Francesco Ricci, Adriano Venturini
2018 — conf
User Behaviour Analysis in a Simulated IoT Augmented Space.
IUI Companion
David Massimo, Elena Not, Francesco Ricci
2018 A conf
User Preference Modeling and Exploitation in IoT Scenarios.
IUI
David Massimo
2017 A conf
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System.
UMAP
David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci
2017 — conf
Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space.
UMAP (Adjunct Publication)
David Massimo, Mehdi Elahi, Francesco Ricci
2015 A conf
Health-aware Food Recommender System.
RecSys
Mouzhi Ge, Francesco Ricci, David Massimo
2015 — conf
Interaction Design in a Mobile Food Recommender System.
IntRS@RecSys
Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo
2015 — conf
Using Tags and Latent Factors in a Food Recommender System.
Digital Health
Mouzhi Ge, Mehdi Elahi, Ignacio Fernández-Tobías, Francesco Ricci, David Massimo
2014 — conf
Interactive Food Recommendation for Groups.
RecSys Posters
Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky