Francesco Ricci

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 111

Top Venues

RecSys

IIR

UMAP (Adjunct Publication)

J. Inf. Technol. Tour.

Publications

Hanif Emamgholizadeh, Amra Delic, Francesco Ricci
Anticipating Eating Preferences in Group Decision Making. UMAP (Adjunct Publication) (2024)
Amra Delic, Hanif Emamgholizadeh, Thuy Ngoc Nguyen, Francesco Ricci
CHARM: a Group Decision Making Support Chatbot. IUI Companion (2024)
Amra Delic, Hanif Emamgholizadeh, Francesco Ricci, Judith Masthoff
Supporting Group Decision-Making: Insights from a Focus Group Study. UMAP (2024)
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)
Naieme Hazrati, Francesco Ricci
Choice models and recommender systems effects on users' choices. User Model. User Adapt. Interact. 34 (1) (2024)
Hanif Emamgholizadeh, Amra Delic, Francesco Ricci
Predicting Group Choices from Group Profiles. ACM Trans. Interact. Intell. Syst. 14 (1) (2024)
Greta Piliponyte, David Massimo, Francesco Ricci
Simulation of recommender systems driven tourism promotion campaigns. J. Inf. Technol. Tour. 26 (3) (2024)
Marina Andric, Mauro Dragoni, Francesco Ricci
Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction. AIME (1) (2024)
Hanif Emamgholizadeh, Amra Delic, Francesco Ricci
Supporting a Group Member to Make a Group Choice. UMAP (Adjunct Publication) (2023)
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 (2023)
Pavel Merinov, David Massimo, Francesco Ricci
Behaviour-aware Tourist Profiles Data Generation. IIR (2023)
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)
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 (2023)
David Massimo, Francesco Ricci
Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration. IIR (2023)
Hanif Emamgholizadeh, Amra Delic, Francesco Ricci
Predicting Group Choices from Group Profiles. CoRR (2023)
David Massimo, Francesco Ricci
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations. UMAP (2023)
Katharina Hofschen, David Massimo, Francesco Ricci
Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems. UMAP (Adjunct Publication) (2023)
Amra Delic, Hanif Emamgholizadeh, Francesco Ricci
CHARM: A Group Recommender ChatBot. UMAP (Adjunct Publication) (2023)
Naieme Hazrati, Francesco Ricci
Simulating Users' Interactions with Recommender Systems. UMAP (Adjunct Publication) (2022)
Iustina Alekseevna Ivanova, Attaullah Buriro, Francesco Ricci
Map and Content-Based Climbing Recommender System. UMAP (Adjunct Publication) (2022)
Pavel Merinov, David Massimo, Francesco Ricci
Sustainability driven Recommender Systems. IIR (2022)
Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher
Data Science and Artificial Intelligence for Responsible Recommendations. KDD (2022)
Naieme Hazrati, Francesco Ricci
Choice Models for Simulating the Consumption of Recommendations. IIR (2022)
Naieme Hazrati, Francesco Ricci
The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality. BIAS (2022)
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)
Marina Andric, Francesco Ricci, Floriano Zini
Sensor-Based Activity Recognition and Performance Assessment in Climbing: A Review. IEEE Access 10 (2022)
Naieme Hazrati, Francesco Ricci
Learning Choice Models for Simulating Users' Interactions with Recommender Systems. Perspectives@RecSys (2022)
Hanif Emamgholizadeh, Barbara Bazzanella, Andrea Molinari, Francesco Ricci
Single User Group Recommendations. UMAP (Adjunct Publication) (2022)
Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci
Trustworthy Recommender Systems. CoRR (2022)
Naieme Hazrati, Francesco Ricci
Recommender systems effect on the evolution of users' choices distribution. Inf. Process. Manag. 59 (1) (2022)
Hanif Emamgholizadeh, Francesco Ricci
Group Dynamic and Group Recommender Systems for Decision Support. IIR (2022)
David Massimo, Francesco Ricci
Inverse Reinforcement Learning and Point of Interest Recommendations. IIR (2022)
Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker
Recommender Systems: Trends and Frontiers. AI Mag. 43 (2) (2022)
Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns. CoRR (2022)
David Massimo, Francesco Ricci
Building Effective Recommender Systems for Tourists. AI Mag. 43 (2) (2022)
Attaullah Buriro, Francesco Ricci
ClapAuth: A Gesture-Based User-Friendly Authentication Scheme to Access a Secure Infrastructure. ETAA (2022)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
CARS: Workshop on Context-Aware Recommender Systems 2022. RecSys (2022)
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 (2022)
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 (2021)
Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker
Recommender Systems: Past, Present, Future. AI Mag. 42 (3) (2021)
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) (2021)
Marina Andric, Iustina Ivanova, Francesco Ricci
Climbing Route Difficulty Grade Prediction and Explanation. WI/IAT (2021)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems (CARS) 2021. RecSys (2021)
Naieme Hazrati, Francesco Ricci
Quality and Diversity of Recommender Systems Users' Choices: a Simulation Perspective. IIR (2021)
Francesco Ricci, David Massimo, Antonella De Angeli
Challenges for Recommender Systems Evaluation. CHItaly (2021)
Iustina Ivanova, Marina Andric, Francesco Ricci
Knowledge-Based Recommendations for Climbers (Short paper). KaRS/ComplexRec@RecSys (2021)
Attaullah Buriro, Francesco Ricci, Bruno Crispo
SWIPEGAN: Swiping Data Augmentation Using Generative Adversarial Networks for Smartphone User Authentication. WiseML@WiSec (2021)
David Massimo, Francesco Ricci
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis. J. Inf. Technol. Tour. 23 (4) (2021)
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)
Iustina Ivanova, Marina Andric, Sadaf Moaveninejad, Andrea Janes, Francesco Ricci
Video and Sensor-Based Rope Pulling Detection in Sport Climbing. MMSports@MM (2020)
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 (2020)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems. RecSys (2020)
Naieme Hazrati, Mehdi Elahi, Francesco Ricci
Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. HT (2020)
Marko Gasparic, Francesco Ricci
IDE Interaction Support With Command Recommender Systems. IEEE Access 8 (2020)
David Massimo, Francesco Ricci
Enhancing Travel Experience Leveraging on-line and off-line Users' Behaviour Data. IUI Companion (2020)
Iustina Ivanova, Marina Andric, Andrea Janes, Francesco Ricci, Floriano Zini
Climbing Activity Recognition and Measurement with Sensor Data Analysis. ICMI Companion (2020)
Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt
Prediction of music pairwise preferences from facial expressions. IUI (2019)
Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza
A News Recommender System for Media Monitoring. WI (2019)
Amra Delic, Francesco Ricci, Julia Neidhardt
Preference Networks and Non-Linear Preferences in Group Recommendations. WI (2019)
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) (2019)
Naieme Hazrati, Mehdi Elahi, Francesco Ricci
Analysing Recommender Systems Impact on Users' Choices. ImpactRS@RecSys (2019)
David Massimo, Francesco Ricci
Users' Evaluation of Next-POI Recommendations. RecTour@RecSys (2019)
David Massimo, Francesco Ricci
Tangible Decision-making in Sensors Augmented Spaces. DDC@AI*IA (2019)
Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza
Media Monitoring using News Recommenders. IIR (2019)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on context-aware recommender systems. RecSys (2019)
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) (2019)
David Massimo, Francesco Ricci
Clustering Users' POIs Visit Trajectories for Next-POI Recommendation. ENTER (2019)
Saikishore Kalloori, Tianyu Li, Francesco Ricci
Item Recommendation by Combining Relative and Absolute Feedback Data. SIGIR (2019)
David Massimo, Elena Not, Francesco Ricci
User Behaviour Analysis in a Simulated IoT Augmented Space. IUI Companion (2018)
Thuy Ngoc Nguyen, Francesco Ricci
A chat-based group recommender system for tourism. J. Inf. Technol. Tour. 18 (1-4) (2018)
Mehdi Elahi, Rosella Gennari, Alessandra Melonio, Francesco Ricci
It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos. IIR (2018)
Saikishore Kalloori, Francesco Ricci, Rosella Gennari
Eliciting pairwise preferences in recommender systems. RecSys (2018)
Marko Gasparic, Tural Gurbanov, Francesco Ricci
Improving integrated development environment commands knowledge with recommender systems. ICSE (SEET) (2018)
Thuy Ngoc Nguyen, Francesco Ricci
Situation-dependent combination of long-term and session-based preferences in group recommendations: an experimental analysis. SAC (2018)
Saikishore Kalloori, Francesco Ricci
Integrating Ratings and Pairwise Preferences in Recommender Systems. IIR (2018)
David Massimo, Francesco Ricci
Harnessing a generalised user behaviour model for next-POI recommendation. RecSys (2018)
David Massimo, Francesco Ricci
Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model. IIR (2018)
Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not, Francesco Ricci, Adriano Venturini
Tangible Tourism with the Internet of Things. ENTER (2018)
Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus
Optimally balancing receiver and recommended users' importance in reciprocal recommender systems. RecSys (2018)
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) (2018)
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)
David Massimo, Mehdi Elahi, Francesco Ricci
Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. UMAP (Adjunct Publication) (2017)
Thuy Ngoc Nguyen, Francesco Ricci
Dynamic elicitation of user preferences in a chat-based group recommender system. SAC (2017)
Thuy Ngoc Nguyen, Francesco Ricci
A Chat-Based Group Recommender System for Tourism. ENTER (2017)
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 (2017)
Matthias Braunhofer, Francesco Ricci
Selective contextual information acquisition in travel recommender systems. J. Inf. Technol. Tour. 17 (1) (2017)
Marko Gasparic, Andrea Janes, Francesco Ricci, Marco Zanellati
GUI Design for IDE Command Recommendations. IUI (2017)
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)
Chulmo Koo, Francesco Ricci, Cihan Cobanoglu, Fevzi Okumus
Special issue on smart, connected hospitality and tourism. Inf. Syst. Frontiers 19 (4) (2017)
Tural Gurbanov, Francesco Ricci
Exploiting Multiple Action Types in Recommender Systems. IIR (2017)
Tural Gurbanov, Francesco Ricci
Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization. SAC (2017)
Marko Gasparic, Gail C. Murphy, Francesco Ricci
A context model for IDE-based recommendation systems. J. Syst. Softw. 128 (2017)
Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt
A Research Tool for User Preferences Elicitation with Facial Expressions. RecSys (2017)
Marko Gasparic, Tural Gurbanov, Francesco Ricci
Context-aware integrated development environment command recommender systems. ASE (2017)
David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. UMAP (2017)
Thuy Ngoc Nguyen, Francesco Ricci
Combining Long-term and Discussion-generated Preferences in Group Recommendations. UMAP (2017)
Thuy Ngoc Nguyen, Francesco Ricci
Preference Elicitation for Group Recommender Systems. IIR (2017)
Saikishore Kalloori, Francesco Ricci
Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons. UMAP (2017)
Matthias Braunhofer, Francesco Ricci
Contextual Information Elicitation in Travel Recommender Systems. ENTER (2016)
Mona Nasery, Matthias Braunhofer, Francesco Ricci
Recommendations with Optimal Combination of Feature-Based and Item-Based Preferences. UMAP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francesco Ricci