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ORCIDFrancesco Ricci 0001
Person information
- affiliation: Free University of Bozen-Bolzano, Italy
Other persons with the same name
- Francesco Ricci — disambiguation page
- Francesco Ricci 0002 — Politecnico di Torino, Italy
- Francesco Ricci 0003
![[0000-0003-4941-8646]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4941-8646")
— University of Rome Tor Vergata, Italy (and 1 more) - Francesco Ricci 0004 — Université Laval, Québec, QC, Canada
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2020 – today
- 2024
[j57]Attaullah Buriro, Zahid Akhtar, Francesco Ricci, Flaminia L. Luccio:
Wearable Wisdom: A Bi-Modal Behavioral Biometric Scheme for Smartwatch User Authentication. IEEE Access 12: 61221-61234 (2024)- [j56]Greta Piliponyte, David Massimo, Francesco Ricci:
Simulation of recommender systems driven tourism promotion campaigns. J. Inf. Technol. Tour. 26(3): 407-448 (2024) - [j55]Hanif Emamgholizadeh, Amra Delic, Francesco Ricci:
Predicting Group Choices from Group Profiles. ACM Trans. Interact. Intell. Syst. 14(1): 7:1-7:27 (2024) - [j54]Shoujin Wang, Xiuzhen Zhang, Yan Wang, Francesco Ricci:
Trustworthy Recommender Systems. ACM Trans. Intell. Syst. Technol. 15(4): 84:1-84:20 (2024) - [j53]Naieme Hazrati, Francesco Ricci:
Choice models and recommender systems effects on users' choices. User Model. User Adapt. Interact. 34(1): 109-145 (2024) - [c193]Marina Andric, Mauro Dragoni, Francesco Ricci:
Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction. AIME (1) 2024: 397-408 - [c192]Amra Delic, Hanif Emamgholizadeh, Thuy Ngoc Nguyen, Francesco Ricci:
CHARM: a Group Decision Making Support Chatbot. IUI Companion 2024: 7-10 - [c191]Amra Delic, Hanif Emamgholizadeh, Francesco Ricci, Judith Masthoff:
Supporting Group Decision-Making: Insights from a Focus Group Study. UMAP 2024: 301-306 - [c190]Hanif Emamgholizadeh, Amra Delic, Francesco Ricci:
Anticipating Eating Preferences in Group Decision Making. UMAP (Adjunct Publication) 2024 - [c189]Ibrahim Al Hazwani, Tiantian Luo, Oana Inel, Francesco Ricci, Mennatallah El-Assady, Jürgen Bernard:
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. UMAP (Adjunct Publication) 2024 - 2023
- [j52]Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada:
Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns. Eng. Appl. Artif. Intell. 126: 106899 (2023) - [j51]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) - [c188]Pavel Merinov, David Massimo, Francesco Ricci:
Behaviour-aware Tourist Profiles Data Generation. IIR 2023: 3-8 - [c187]David Massimo, Francesco Ricci:
Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration. IIR 2023: 58-59 - [c186]Katharina Hofschen, David Massimo, Francesco Ricci:
Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems. UMAP (Adjunct Publication) 2023: 50-55 - [c185]Hanif Emamgholizadeh, Amra Delic, Francesco Ricci:
Supporting a Group Member to Make a Group Choice. UMAP (Adjunct Publication) 2023: 96-99 - [c184]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: 100-103 - [c183]David Massimo, Francesco Ricci:
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations. UMAP 2023: 164-174 - [c182]Amra Delic, Hanif Emamgholizadeh, Francesco Ricci:
CHARM: A Group Recommender ChatBot. UMAP (Adjunct Publication) 2023: 275-282 - [i6]Hanif Emamgholizadeh, Amra Delic, Francesco Ricci:
Predicting Group Choices from Group Profiles. CoRR abs/2308.03083 (2023) - 2022
- [j50]Marina Andric, Francesco Ricci, Floriano Zini:
Sensor-Based Activity Recognition and Performance Assessment in Climbing: A Review. IEEE Access 10: 108583-108603 (2022) - [j49]Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker:
Recommender Systems: Trends and Frontiers. AI Mag. 43(2): 145-150 (2022) - [j48]David Massimo, Francesco Ricci:
Building Effective Recommender Systems for Tourists. AI Mag. 43(2): 209-224 (2022) - [j47]Naieme Hazrati, Francesco Ricci:
Recommender systems effect on the evolution of users' choices distribution. Inf. Process. Manag. 59(1): 102766 (2022) - [c181]Naieme Hazrati, Francesco Ricci:
The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality. BIAS 2022: 12-20 - [c180]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 - [c179]Attaullah Buriro, Francesco Ricci:
ClapAuth: A Gesture-Based User-Friendly Authentication Scheme to Access a Secure Infrastructure. ETAA 2022: 15-30 - [c178]Hanif Emamgholizadeh, Francesco Ricci:
Group Dynamic and Group Recommender Systems for Decision Support. IIR 2022 - [c177]Naieme Hazrati, Francesco Ricci:
Choice Models for Simulating the Consumption of Recommendations. IIR 2022 - [c176]David Massimo, Francesco Ricci:
Inverse Reinforcement Learning and Point of Interest Recommendations. IIR 2022 - [c175]Pavel Merinov, David Massimo, Francesco Ricci:
Sustainability driven Recommender Systems. IIR 2022 - [c174]Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher:
Data Science and Artificial Intelligence for Responsible Recommendations. KDD 2022: 4904-4905 - [c173]Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger:
CARS: Workshop on Context-Aware Recommender Systems 2022. RecSys 2022: 691-693 - [c172]Naieme Hazrati, Francesco Ricci:
Learning Choice Models for Simulating Users' Interactions with Recommender Systems. Perspectives@RecSys 2022 - [c171]Iustina Alekseevna Ivanova, Attaullah Buriro, Francesco Ricci:
Map and Content-Based Climbing Recommender System. UMAP (Adjunct Publication) 2022: 41-45 - [c170]Naieme Hazrati, Francesco Ricci:
Simulating Users' Interactions with Recommender Systems. UMAP (Adjunct Publication) 2022: 95-98 - [c169]Hanif Emamgholizadeh, Barbara Bazzanella, Andrea Molinari, Francesco Ricci:
Single User Group Recommendations. UMAP (Adjunct Publication) 2022: 308-313 - [e15]Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems Handbook. Springer US 2022, ISBN 978-1-0716-2196-7 [contents] - [r4]Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems: Techniques, Applications, and Challenges. Recommender Systems Handbook 2022: 1-35 - [i5]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) - [i4]Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci:
Trustworthy Recommender Systems. CoRR abs/2208.06265 (2022) - [i3]Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada:
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns. CoRR abs/2211.04880 (2022) - 2021
- [j46]Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker:
Recommender Systems: Past, Present, Future. AI Mag. 42(3): 3-6 (2021) - [j45]David Massimo, Francesco Ricci:
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis. J. Inf. Technol. Tour. 23(4): 473-508 (2021) - [j44]Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus:
Supporting users in finding successful matches in reciprocal recommender systems. User Model. User Adapt. Interact. 31(3): 541-589 (2021) - [c168]Francesco Ricci, David Massimo, Antonella De Angeli:
Challenges for Recommender Systems Evaluation. CHItaly 2021: 25:1-25:5 - [c167]Naieme Hazrati, Francesco Ricci:
Quality and Diversity of Recommender Systems Users' Choices: a Simulation Perspective. IIR 2021 - [c166]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. IJCAI 2021: 4644-4652 - [c165]Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger:
Workshop on Context-Aware Recommender Systems (CARS) 2021. RecSys 2021: 813-814 - [c164]Iustina Ivanova, Marina Andric, Francesco Ricci:
Knowledge-Based Recommendations for Climbers (Short paper). KaRS/ComplexRec@RecSys 2021 - [c163]Marina Andric, Iustina Ivanova, Francesco Ricci:
Climbing Route Difficulty Grade Prediction and Explanation. WI/IAT 2021: 285-292 - [c162]Attaullah Buriro, Francesco Ricci, Bruno Crispo:
SWIPEGAN: Swiping Data Augmentation Using Generative Adversarial Networks for Smartphone User Authentication. WiseML@WiSec 2021: 85-90 - [i2]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. CoRR abs/2105.06339 (2021) - 2020
- [j43]Marko Gasparic, Francesco Ricci:
IDE Interaction Support With Command Recommender Systems. IEEE Access 8: 19256-19270 (2020) - [c161]Naieme Hazrati, Mehdi Elahi, Francesco Ricci:
Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. HT 2020: 207-212 - [c160]Iustina Ivanova, Marina Andric, Andrea Janes, Francesco Ricci, Floriano Zini:
Climbing Activity Recognition and Measurement with Sensor Data Analysis. ICMI Companion 2020: 245-249 - [c159]David Massimo, Francesco Ricci:
Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data. IUI Companion 2020: 65-66 - [c158]Iustina Ivanova, Marina Andric, Sadaf Moaveninejad, Andrea Janes, Francesco Ricci:
Video and Sensor-Based Rope Pulling Detection in Sport Climbing. MMSports@MM 2020: 53-60 - [c157]Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger:
Workshop on Context-Aware Recommender Systems. RecSys 2020: 635-637 - [i1]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu:
Graph Learning Approaches to Recommender Systems: A Review. CoRR abs/2004.11718 (2020)
2010 – 2019
- 2019
- [j42]Fabio Gasparetti, Damianos Gavalas, Sergio Ilarri, Francesco Ricci, Zhiwen Yu:
Mining social networks for local search and location-based recommender systems. Pers. Ubiquitous Comput. 23(2): 179-180 (2019) - [j41]Thuy Ngoc Nguyen, Francesco Ricci, Amra Delic, Derek G. Bridge:
Conflict resolution in group decision making: insights from a simulation study. User Model. User Adapt. Interact. 29(5): 895-941 (2019) - [c156]David Massimo, Francesco Ricci:
Tangible Decision-making in Sensors Augmented Spaces. DDC@AI*IA 2019: 53-62 - [c155]David Massimo, Francesco Ricci:
Clustering Users' POIs Visit Trajectories for Next-POI Recommendation. ENTER 2019: 3-14 - [c154]Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
Media Monitoring using News Recommenders. IIR 2019: 41-42 - [c153]Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt:
Prediction of music pairwise preferences from facial expressions. IUI 2019: 150-159 - [c152]Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger:
Workshop on context-aware recommender systems. RecSys 2019: 548-549 - [c151]Naieme Hazrati, Mehdi Elahi, Francesco Ricci:
Analysing Recommender Systems Impact on Users' Choices. ImpactRS@RecSys 2019 - [c150]David Massimo, Francesco Ricci:
Users' Evaluation of Next-POI Recommendations. RecTour@RecSys 2019: 1-8 - [c149]Saikishore Kalloori, Tianyu Li, Francesco Ricci:
Item Recommendation by Combining Relative and Absolute Feedback Data. SIGIR 2019: 933-936 - [c148]Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
A News Recommender System for Media Monitoring. WI 2019: 132-140 - [c147]Amra Delic, Francesco Ricci, Julia Neidhardt:
Preference Networks and Non-Linear Preferences in Group Recommendations. WI 2019: 403-407 - 2018
- [j40]Thuy Ngoc Nguyen, Francesco Ricci:
A chat-based group recommender system for tourism. J. Inf. Technol. Tour. 18(1-4): 5-28 (2018) - [j39]Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci:
An observational user study for group recommender systems in the tourism domain. J. Inf. Technol. Tour. 19(1-4): 87-116 (2018) - [c146]Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not, Francesco Ricci, Adriano Venturini:
Tangible Tourism with the Internet of Things. ENTER 2018: 349-361 - [c145]Marko Gasparic, Tural Gurbanov, Francesco Ricci:
Improving integrated development environment commands knowledge with recommender systems. ICSE (SEET) 2018: 88-97 - [c144]Mehdi Elahi, Rosella Gennari, Alessandra Melonio, Francesco Ricci:
It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos. IIR 2018 - [c143]Saikishore Kalloori, Francesco Ricci:
Integrating Ratings and Pairwise Preferences in Recommender Systems. IIR 2018 - [c142]David Massimo, Francesco Ricci:
Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model. IIR 2018 - [c141]David Massimo, Elena Not, Francesco Ricci:
User Behaviour Analysis in a Simulated IoT Augmented Space. IUI Companion 2018: 8:1-8:2 - [c140]Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus:
Optimally balancing receiver and recommended users' importance in reciprocal recommender systems. RecSys 2018: 131-139 - [c139]Saikishore Kalloori, Francesco Ricci, Rosella Gennari:
Eliciting pairwise preferences in recommender systems. RecSys 2018: 329-337 - [c138]David Massimo, Francesco Ricci:
Harnessing a generalised user behaviour model for next-POI recommendation. RecSys 2018: 402-406 - [c137]Thuy Ngoc Nguyen, Francesco Ricci:
Situation-dependent combination of long-term and session-based preferences in group recommendations: an experimental analysis. SAC 2018: 1366-1373 - [p5]Mehdi Elahi, Matthias Braunhofer, Tural Gurbanov, Francesco Ricci:
User Preference Elicitation, Rating Sparsity and Cold Start. Collaborative Recommendations 2018: 253-294 - [r3]Francesco Ricci:
Recommender Systems: Models and Techniques. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j38]Marko Gasparic, Andrea Janes, Francesco Ricci, Gail C. Murphy, Tural Gurbanov:
A graphical user interface for presenting integrated development environment command recommendations: Design, evaluation, and implementation. Inf. Softw. Technol. 92: 236-255 (2017) - [j37]Chulmo Koo, Francesco Ricci, Cihan Cobanoglu, Fevzi Okumus:
Special issue on smart, connected hospitality and tourism. Inf. Syst. Frontiers 19(4): 699-703 (2017) - [j36]Matthias Braunhofer, Francesco Ricci:
Selective contextual information acquisition in travel recommender systems. J. Inf. Technol. Tour. 17(1): 5-29 (2017) - [j35]Marko Gasparic, Gail C. Murphy, Francesco Ricci:
A context model for IDE-based recommendation systems. J. Syst. Softw. 128: 200-219 (2017) - [c136]Fabiana Lorenzi, Rodrigo G. da Rosa, Alessandra Peres, Gilson Pires Dorneles, André Peres, Francesco Ricci:
Tailoring Training for Obese Individuals with Case-Based Reasoning. BCB 2017: 142-147 - [c135]Thuy Ngoc Nguyen, Francesco Ricci:
A Chat-Based Group Recommender System for Tourism. ENTER 2017: 17-30 - [c134]Tural Gurbanov, Francesco Ricci:
Exploiting Multiple Action Types in Recommender Systems. IIR 2017: 72-75 - [c133]Thuy Ngoc Nguyen, Francesco Ricci:
Preference Elicitation for Group Recommender Systems. IIR 2017: 76-79 - [c132]Marko Gasparic, Andrea Janes, Francesco Ricci, Marco Zanellati:
GUI Design for IDE Command Recommendations. IUI 2017: 595-599 - [c131]Marko Gasparic, Tural Gurbanov, Francesco Ricci:
Context-aware integrated development environment command recommender systems. ASE 2017: 688-693 - [c130]Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt:
A Research Tool for User Preferences Elicitation with Facial Expressions. RecSys 2017: 353-354 - [c129]Tural Gurbanov, Francesco Ricci:
Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization. SAC 2017: 1655-1661 - [c128]Thuy Ngoc Nguyen, Francesco Ricci:
Dynamic elicitation of user preferences in a chat-based group recommender system. SAC 2017: 1685-1692 - [c127]David Massimo, Mehdi Elahi, Francesco Ricci:
Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. UMAP (Adjunct Publication) 2017: 35-40 - [c126]Hanna Schäfer, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, Francesco Ricci, Alan Said:
User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity. UMAP (Adjunct Publication) 2017: 93-96 - [c125]Saikishore Kalloori, Francesco Ricci:
Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons. UMAP 2017: 289-293 - [c124]David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci:
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. UMAP 2017: 373-374 - [c123]Thuy Ngoc Nguyen, Francesco Ricci:
Combining Long-term and Discussion-generated Preferences in Group Recommendations. UMAP 2017: 377-378 - [p4]Marius Kaminskas, Francesco Ricci:
Emotion-Based Matching of Music to Places. Emotions and Personality in Personalized Services 2017: 287-310 - [e14]Paolo Cremonesi, Francesco Ricci, Shlomo Berkovsky, Alexander Tuzhilin:
Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017. ACM 2017, ISBN 978-1-4503-4652-8 [contents] - 2016
- [j34]Mehdi Elahi, Francesco Ricci, Neil Rubens:
A survey of active learning in collaborative filtering recommender systems. Comput. Sci. Rev. 20: 29-50 (2016) - [j33]Victor Codina, Francesco Ricci, Luigi Ceccaroni:
Distributional semantic pre-filtering in context-aware recommender systems. User Model. User Adapt. Interact. 26(1): 1-32 (2016) - [j32]Ignacio Fernández-Tobías, Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Iván Cantador:
Alleviating the new user problem in collaborative filtering by exploiting personality information. User Model. User Adapt. Interact. 26(2-3): 221-255 (2016) - [c122]Floriano Zini, Martin Reinstadler, Francesco Ricci:
Increasing Quality of Life Awareness with Life-Logging. eHealth 360° 2016: 282-293 - [c121]Matthias Braunhofer, Francesco Ricci:
Contextual Information Elicitation in Travel Recommender Systems. ENTER 2016: 579-592 - [c120]Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci:
Research Methods for Group Recommender System. RecTour@RecSys 2016: 30-37 - [c119]Saikishore Kalloori, Francesco Ricci, Marko Tkalcic:
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. RecSys 2016: 143-146 - [c118]Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci, Laurens Rook, Hannes Werthner, Markus Zanker:
Observing Group Decision Making Processes. RecSys 2016: 147-150 - [c117]Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi:
Algorithms Aside: Recommendation As The Lens Of Life. RecSys 2016: 215-219 - [c116]