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Francesco 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
— 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) - [c195]Marina Andric, Mauro Dragoni, Francesco Ricci:
Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction. AIME (1) 2024: 397-408 - [c194]Amra Delic
, Hanif Emamgholizadeh
, Thuy Ngoc Nguyen
, Francesco Ricci
:
CHARM: a Group Decision Making Support Chatbot. IUI Companion 2024: 7-10 - [c193]Pavel Merinov
, Francesco Ricci
:
Positive-Sum Impact of Multistakeholder Recommender Systems for Urban Tourism Promotion and User Utility. RecSys 2024: 939-944 - [c192]Ludovico Boratto
, Allegra De Filippo
, Elisabeth Lex
, Francesco Ricci
:
First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). RecSys 2024: 1239-1241 - [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