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David Massimo
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2020 – today
- 2024
- [j4]Greta Piliponyte
, David Massimo, Francesco Ricci:
Simulation of recommender systems driven tourism promotion campaigns. J. Inf. Technol. Tour. 26(3): 407-448 (2024) - 2023
- [j3]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: 1-14 (2023) - [c24]Pavel Merinov, David Massimo, Francesco Ricci:
Behaviour-aware Tourist Profiles Data Generation. IIR 2023: 3-8 - [c23]David Massimo, Francesco Ricci:
Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration. IIR 2023: 58-59 - [c22]Katharina Hofschen
Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems. UMAP (Adjunct Publication) 2023: 50-55 - [c21]Greta Piliponyte
The Impact of Personalised Advertisement Campaigns on Tourist Choices in South Tyrol: A Sustainable Tourism Perspective. UMAP (Adjunct Publication) 2023: 100-103 - [c20]David Massimo
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations. UMAP 2023: 164-174 - 2022
- [j2]David Massimo
Building Effective Recommender Systems for Tourists. AI Mag. 43(2): 209-224 (2022) - [c19]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: 137-154 - [c18]David Massimo, Francesco Ricci:
Inverse Reinforcement Learning and Point of Interest Recommendations. IIR 2022 - [c17]Pavel Merinov, David Massimo, Francesco Ricci:
Sustainability driven Recommender Systems. IIR 2022 - [e1]Gabriella Pasi, Paolo Cremonesi, Salvatore Orlando, Markus Zanker, David Massimo, Gloria Turati:
Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022. CEUR Workshop Proceedings 3177, CEUR-WS.org 2022 [contents] - [i1]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 abs/2203.15398 (2022) - 2021
- [j1]David Massimo
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis. J. Inf. Technol. Tour. 23(4): 473-508 (2021) - [c16]Francesco Ricci, David Massimo, Antonella De Angeli:
Challenges for Recommender Systems Evaluation. CHItaly 2021: 25:1-25:5 - 2020
- [c15]David Massimo, Francesco Ricci
Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data. IUI Companion 2020: 65-66
2010 – 2019
- 2019
- [c14]David Massimo, Francesco Ricci:
Tangible Decision-making in Sensors Augmented Spaces. DDC@AI*IA 2019: 53-62 - [c13]David Massimo, Francesco Ricci:
Clustering Users' POIs Visit Trajectories for Next-POI Recommendation. ENTER 2019: 3-14 - [c12]David Massimo, Francesco Ricci:
Users' Evaluation of Next-POI Recommendations. RecTour@RecSys 2019: 1-8 - 2018
- [c11]Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not
Tangible Tourism with the Internet of Things. ENTER 2018: 349-361 - [c10]David Massimo, Francesco Ricci:
Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model. IIR 2018 - [c9]David Massimo, Elena Not
User Behaviour Analysis in a Simulated IoT Augmented Space. IUI Companion 2018: 8:1-8:2 - [c8]David Massimo:
User Preference Modeling and Exploitation in IoT Scenarios. IUI 2018: 675-676 - [c7]David Massimo, Francesco Ricci
Harnessing a generalised user behaviour model for next-POI recommendation. RecSys 2018: 402-406 - 2017
- [c6]David Massimo, Mehdi Elahi
Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. UMAP (Adjunct Publication) 2017: 35-40 - [c5]David Massimo, Mehdi Elahi
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. UMAP 2017: 373-374 - 2015
- [c4]Mouzhi Ge, Mehdi Elahi
Using Tags and Latent Factors in a Food Recommender System. Digital Health 2015: 105-112 - [c3]Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo:
Interaction Design in a Mobile Food Recommender System. IntRS@RecSys 2015: 49-52 - [c2]Mouzhi Ge, Francesco Ricci, David Massimo:
Health-aware Food Recommender System. RecSys 2015: 333-334 - 2014
- [c1]Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky:
Interactive Food Recommendation for Groups. RecSys Posters 2014
Coauthor Index
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last updated on 2024-10-12 23:01 CEST by the dblp team
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