David Massimo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Machine Learning Models

Cold Start Problem

Recommender Systems

Top Venues

UMAP (Adjunct Publication)

J. Inf. Technol. Tour.

Publications

Greta Piliponyte, David Massimo, Francesco Ricci
Simulation of recommender systems driven tourism promotion campaigns. J. Inf. Technol. Tour. 26 (3) (2024)
David Massimo, Elias Ganthaler, Attaullah Buriro, Francesco Barile, Marco Moraschini, Anton Dignös, Thomas Villgrattner, Angelika Peer, Francesco Ricci
Estimation of Mass and Lengths of Sintered Workpieces Using Machine Learning Models. IEEE Trans. Instrum. Meas. 72 (2023)
Pavel Merinov, David Massimo, Francesco Ricci
Behaviour-aware Tourist Profiles Data Generation. IIR (2023)
Greta Piliponyte, David Massimo, Francesco Ricci
The Impact of Personalised Advertisement Campaigns on Tourist Choices in South Tyrol: A Sustainable Tourism Perspective. UMAP (Adjunct Publication) (2023)
David Massimo, Francesco Ricci
Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration. IIR (2023)
David Massimo, Francesco Ricci
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations. UMAP (2023)
Katharina Hofschen, David Massimo, Francesco Ricci
Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems. UMAP (Adjunct Publication) (2023)
Pavel Merinov, David Massimo, Francesco Ricci
Sustainability driven Recommender Systems. IIR (2022)
Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani
Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities. BPM (Forum) (2022)
David Massimo, Francesco Ricci
Inverse Reinforcement Learning and Point of Interest Recommendations. IIR (2022)
David Massimo, Francesco Ricci
Building Effective Recommender Systems for Tourists. AI Mag. 43 (2) (2022)
Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani
Learning to act: a Reinforcement Learning approach to recommend the best next activities. CoRR (2022)
Francesco Ricci, David Massimo, Antonella De Angeli
Challenges for Recommender Systems Evaluation. CHItaly (2021)
David Massimo, Francesco Ricci
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis. J. Inf. Technol. Tour. 23 (4) (2021)
David Massimo, Francesco Ricci
Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data. IUI Companion (2020)
David Massimo, Francesco Ricci
Users' Evaluation of Next-POI Recommendations. RecTour@RecSys (2019)
David Massimo, Francesco Ricci
Tangible Decision-making in Sensors Augmented Spaces. DDC@AI*IA (2019)
David Massimo, Francesco Ricci
Clustering Users' POIs Visit Trajectories for Next-POI Recommendation. ENTER (2019)
David Massimo, Elena Not, Francesco Ricci
User Behaviour Analysis in a Simulated IoT Augmented Space. IUI Companion (2018)
David Massimo, Francesco Ricci
Harnessing a generalised user behaviour model for next-POI recommendation. RecSys (2018)
David Massimo, Francesco Ricci
Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model. IIR (2018)
Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not, Francesco Ricci, Adriano Venturini
Tangible Tourism with the Internet of Things. ENTER (2018)
David Massimo
User Preference Modeling and Exploitation in IoT Scenarios. IUI (2018)
David Massimo, Mehdi Elahi, Francesco Ricci
Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. UMAP (Adjunct Publication) (2017)
David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. UMAP (2017)
Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo
Interaction Design in a Mobile Food Recommender System. IntRS@RecSys (2015)
Mouzhi Ge, Francesco Ricci, David Massimo
Health-aware Food Recommender System. RecSys (2015)
Mouzhi Ge, Mehdi Elahi, Ignacio Fernández-Tobías, Francesco Ricci, David Massimo
Using Tags and Latent Factors in a Food Recommender System. Digital Health (2015)
Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky
Interactive Food Recommendation for Groups. RecSys Posters (2014)