| Health-aware food recommender system M Ge, F Ricci, D Massimo Proceedings of the 9th ACM Conference on Recommender Systems, 333-334, 2015 | 185 | 2015 |
| 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 | 150 | 2015 |
| 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 | 52 | 2018 |
| Interaction Design in a Mobile Food Recommender System. M Elahi, M Ge, F Ricci, I Fernández-Tobías, S Berkovsky, D Massimo IntRS@ RecSys, 49-52, 2015 | 39 | 2015 |
| Interactive Food Recommendation for Groups. M Elahi, M Ge, F Ricci, D Massimo, S Berkovsky Recsys posters, 2014 | 34 | 2014 |
| Clustering users’ pois visit trajectories for next-poi recommendation D Massimo, F Ricci Information and Communication Technologies in Tourism 2019: Proceedings of …, 2019 | 33 | 2019 |
| Information and Communication Technologies in Tourism 2022: Proceedings of the ENTER 2022 ETourism Conference, January 11-14, 2022 JL Stienmetz, B Ferrer-Rosell, D Massimo Springer Nature, 2022 | 26 | 2022 |
| 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 | 24 | 2017 |
| Building effective recommender systems for tourists D Massimo, F Ricci AI Magazine 43 (2), 209-224, 2022 | 23 | 2022 |
| Popularity, novelty and relevance in point of interest recommendation: an experimental analysis D Massimo, F Ricci Information Technology & Tourism 23 (4), 473-508, 2021 | 22 | 2021 |
| 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: Proceedings of …, 2018 | 20 | 2018 |
| Learning to act: a reinforcement learning approach to recommend the best next activities S Branchi, C Di Francescomarino, C Ghidini, D Massimo, F Ricci, ... International Conference on Business Process Management, 137-154, 2022 | 19 | 2022 |
| 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 | 15 | 2017 |
| Next-poi recommendations for the smart destination era D Massimo, F Ricci Information and Communication Technologies in Tourism 2020: Proceedings of …, 2020 | 13 | 2020 |
| Combining reinforcement learning and spatial proximity exploration for new user and new poi recommendations D Massimo, F Ricci Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023 | 10 | 2023 |
| Information and Communication Technologies in Tourism 2023: Proceedings of the ENTER 2023 eTourism Conference, January 18-20, 2023 B Ferrer-Rosell, D Massimo, K Berezina Springer Nature, 2023 | 10 | 2023 |
| Next-POI recommendations matching user’s visit behaviour D Massimo, F Ricci Information and Communication Technologies in Tourism 2021: Proceedings of …, 2021 | 10 | 2021 |
| User preference modeling and exploitation in IoT scenarios D Massimo Proceedings of the 23rd International Conference on Intelligent User …, 2018 | 10 | 2018 |
| User behaviour analysis in a simulated iot augmented space D Massimo, E Not, F Ricci Companion Proceedings of the 23rd International Conference on Intelligent …, 2018 | 8 | 2018 |
| Challenges for recommender systems evaluation F Ricci, D Massimo, A De Angeli Proceedings of the 14th Biannual Conference of the Italian SIGCHI Chapter, 1-5, 2021 | 7 | 2021 |
Francesco RicciProfessor of Computer Science, Free University of Bozen-BolzanoVerifisert e-postadresse på unibz.it