Interactive Food Recommendation for Groups. - Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001; David Massimo; Shlomo Berkovsky (RecSys Posters, 2014)

Using Tags and Latent Factors in a Food Recommender System. - Mouzhi Ge; Mehdi Elahi; Ignacio Fernández-Tobías; Francesco Ricci 001; David Massimo (Digital Health, 2015)

Interaction Design in a Mobile Food Recommender System. - Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001; Ignacio Fernández-Tobías; Shlomo Berkovsky; David Massimo (IntRS@RecSys, 2015)

Health-aware Food Recommender System. - Mouzhi Ge; Francesco Ricci 001; David Massimo (RecSys, 2015)

Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. - David Massimo; Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001 (UMAP, 2017)

Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. - David Massimo; Mehdi Elahi; Francesco Ricci 001 (UMAP (Adjunct Publication), 2017)

Tangible Tourism with the Internet of Things. - Dario Cavada; Mehdi Elahi; David Massimo; Stefano Maule; Elena Not; Francesco Ricci 001; Adriano Venturini (ENTER, 2018)

Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model. - David Massimo; Francesco Ricci 001 (IIR, 2018)

User Preference Modeling and Exploitation in IoT Scenarios. - David Massimo (IUI, 2018)

User Behaviour Analysis in a Simulated IoT Augmented Space. - David Massimo; Elena Not; Francesco Ricci 001 (IUI Companion, 2018)

Harnessing a generalised user behaviour model for next-POI recommendation. - David Massimo; Francesco Ricci 001 (RecSys, 2018)

Tangible Decision-making in Sensors Augmented Spaces. - David Massimo; Francesco Ricci 001 (DDC@AI*IA, 2019)

Clustering Users' POIs Visit Trajectories for Next-POI Recommendation. - David Massimo; Francesco Ricci 001 (ENTER, 2019)

Users' Evaluation of Next-POI Recommendations. - David Massimo; Francesco Ricci 001 (RecTour@RecSys, 2019)

Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data. - David Massimo; Francesco Ricci 001 (IUI Companion, 2020)

Challenges for Recommender Systems Evaluation. - Francesco Ricci 001; David Massimo; Antonella De Angeli (CHItaly, 2021)

Popularity, novelty and relevance in point of interest recommendation: an experimental analysis. - David Massimo; Francesco Ricci 001 (J. Inf. Technol. Tour., 2021)

Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities. - Stefano Branchi; Chiara Di Francescomarino; Chiara Ghidini; David Massimo; Francesco Ricci 001; Massimiliano Ronzani (BPM (Forum), 2022)

Inverse Reinforcement Learning and Point of Interest Recommendations. - David Massimo; Francesco Ricci 001 (IIR, 2022)

Sustainability driven Recommender Systems. - Pavel Merinov; David Massimo; Francesco Ricci 001 (IIR, 2022)

Building Effective Recommender Systems for Tourists. - David Massimo; Francesco Ricci 001 (AI Mag., 2022)

Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration. - David Massimo; Francesco Ricci 001 (IIR, 2023)

Behaviour-aware Tourist Profiles Data Generation. - Pavel Merinov; David Massimo; Francesco Ricci 001 (IIR, 2023)

Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems. - Katharina Hofschen; David Massimo; Francesco Ricci 001 (UMAP (Adjunct Publication), 2023)

Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations. - David Massimo; Francesco Ricci 001 (UMAP, 2023)

The Impact of Personalised Advertisement Campaigns on Tourist Choices in South Tyrol: A Sustainable Tourism Perspective. - Greta Piliponyte; David Massimo; Francesco Ricci 001 (UMAP (Adjunct Publication), 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 001 (IEEE Trans. Instrum. Meas., 2023)

Simulation of recommender systems driven tourism promotion campaigns. - Greta Piliponyte; David Massimo; Francesco Ricci 001 (J. Inf. Technol. Tour., 2024)