David Massimo
David Massimo
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα unibz.it
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Παρατίθεται από
Παρατίθεται από
Έτος
Health-aware food recommender system
M Ge, F Ricci, D Massimo
Proceedings of the 9th ACM Conference on Recommender Systems, 333-334, 2015
902015
Using tags and latent factors in a food recommender system
M Ge, M Elahi, I Fernaández-Tobías, F Ricci, D Massimo
Proceedings of the 5th International Conference on Digital Health 2015, 105-112, 2015
842015
Harnessing a generalised user behaviour model for next-POI recommendation
D Massimo, F Ricci
Proceedings of the 12th ACM Conference on Recommender Systems, 402-406, 2018
242018
Interaction design in a mobile food recommender system
M Elahi, M Ge, F Ricci, I Fernández-Tobías, S Berkovsky
IntRS 2015 Interfaces and Human Decision Making for Recommender Systems …, 2015
242015
Interactive Food Recommendation for Groups.
M Elahi, M Ge, F Ricci, D Massimo, S Berkovsky
Recsys posters, 2014
202014
Clustering users’ pois visit trajectories for next-poi recommendation
D Massimo, F Ricci
Information and Communication Technologies in Tourism 2019, 3-14, 2019
172019
Learning user preferences by observing user-items interactions in an IoT augmented space
D Massimo, M Elahi, F Ricci
Adjunct Publication of the 25th Conference on User Modeling, Adaptation and …, 2017
142017
Tangible tourism with the internet of things
D Cavada, M Elahi, D Massimo, S Maule, E Not, F Ricci, A Venturini
Information and Communication Technologies in Tourism 2018, 349-361, 2018
132018
Item contents good, user tags better: Empirical evaluation of a food recommender system
D Massimo, M Elahi, M Ge, F Ricci
Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017
102017
User preference modeling and exploitation in IoT scenarios
D Massimo
23rd International Conference on Intelligent User Interfaces, 675-676, 2018
62018
Next-POI Recommendations for the Smart Destination Era
D Massimo, F Ricci
Information and Communication Technologies in Tourism 2020, 130-141, 2020
52020
Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data
D Massimo, F Ricci
Proceedings of the 25th International Conference on Intelligent User …, 2020
32020
User behaviour analysis in a simulated iot augmented space
D Massimo, E Not, F Ricci
Proceedings of the 23rd International Conference on Intelligent User …, 2018
32018
Next-POI Recommendations Matching User’s Visit Behaviour
D Massimo, F Ricci
Information and Communication Technologies in Tourism 2021, 45-57, 2021
22021
Integrating wearable devices into a mobile food recommender system
M Ge, D Massimo, F Ricci, F Zini
Mobile Computing, Applications, and Services: 7th International Conference …, 2016
22016
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis
D Massimo, F Ricci
Information Technology & Tourism, 1-36, 2021
2021
Challenges for Recommender Systems Evaluation
F Ricci, D Massimo, A De Angeli
CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter, 1-5, 2021
2021
Exploiting Explainable and Generalized Human Behaviour Models for Recommendation
D Massimo
Free University of Bozen-Bolzano, 2020
2020
Tangible Decision-making in Sensors Augmented Spaces.
D Massimo, F Ricci
DDC@ AI* IA, 53-62, 2019
2019
Users’ Evaluation of Next-POI Recommendations
D Massimo, F Ricci
RecTour 2019, 1, 2019
2019
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