Paolo Cremonesi

发表

Paolo Cremonesi, Giovanni Versaci, 2009, Int. CMG Conference.

Activating the Crowd: Exploiting User-Item Reciprocity for Recommendation

Martha Larson, Frank Hopfgartner, Alexandros Karatzoglou, 2013 .

Recommender Systems Evaluation: A 3D Benchmark

Martha Larson, Alan Said, Paolo Cremonesi, 2012, RUE@RecSys.

Optimizing cooling and server power consumption

Paolo Cremonesi, Andrea Sansottera, Stefano Gualandi, 2011, 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing.

Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective: An Empirical Study

Franca Garzotto, Roberto Turrin, Paolo Cremonesi, 2012, TIIS.

Recommending Movies Based on Mise-en-Scene Design

Franca Garzotto, Pietro Piazzolla, Paolo Cremonesi, 2016, CHI Extended Abstracts.

Compact Markov-modulated models for multiclass trace fitting

Paolo Cremonesi, Giuliano Casale, Andrea Sansottera, 2016, Eur. J. Oper. Res..

Explicit Elimination of Similarity Blocking for Session-based Recommendation

Martha Larson, Roberto Pagano, Paolo Cremonesi, 2016, RecSys Posters.

Controlling Consistency in Top-N Recommender Systems

Roberto Turrin, Paolo Cremonesi, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Making Fashion More Trendy through Touchless Interactive Displays Integrated with Mobile Devices

Franca Garzotto, Paolo Cremonesi, Massimo Valla, 2015, ITS.

Outfit Completion and Clothes Recommendation

Paolo Cremonesi, Federico Sallemi, Gabriele Prato, 2020, CHI Extended Abstracts.

vMannequin: A Fashion Store Concept Design Tool

Franca Garzotto, Mauro Iacono, Pietro Piazzolla, 2016, ECMS.

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?

Paolo Cremonesi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, 2016, EC-Web.

Decision Making through Polarized Summarization of User Reviews

Franca Garzotto, Roberto Pagano, Paolo Cremonesi, 2015, DMRS.

Service Time Estimation with a Refinement Enhanced Hybrid Clustering Algorithm

Paolo Cremonesi, Kanika Dhyani, Andrea Sansottera, 2010, ASMTA.

Comparative evaluation of recommender system quality

Franca Garzotto, Roberto Turrin, Paolo Cremonesi, 2011, CHI Extended Abstracts.

Introduction to the Special Issue on Recommender System Benchmarking

Michelle X. Zhou, Alan Said, Paolo Cremonesi, 2016, ACM Trans. Intell. Syst. Technol..

Experiences on using a workstation cluster to implement a real-time digital transient network analyzer

L. Barretta, Paolo Cremonesi, N. Scarabottolo, 1996 .

Automatic load balancing in parallel direct simulation methods

Paolo Cremonesi, 1994, Proceedings of the First International Conference on Massively Parallel Computing Systems (MPCS) The Challenges of General-Purpose and Special-Purpose Computing.

Estimating Confidence of Individual User Predictions in Item-based Recommender Systems

Paolo Cremonesi, Cesare Bernardis, Maurizio Ferrari Dacrema, 2019, UMAP.

Evaluating top-n recommendations "when the best are gone"

Franca Garzotto, Paolo Cremonesi, Massimo Quadrana, 2013, RecSys.

How to Select Significant Workloads in Performance Models

Paolo Cremonesi, Giuliano Casale, G. Casale, 2007, Int. CMG Conference.

Dynamic and Interactive Lighting for Fashion Store Windows

Franca Garzotto, Pietro Piazzolla, Paolo Cremonesi, 2016, CHI Extended Abstracts.

Towards a smart retail environment

Franca Garzotto, Paolo Cremonesi, Massimo Valla, 2015, UbiComp/ISWC Adjunct.

Proceedings of the 11th European Conference on Interactive TV and Video

Paolo Paolini, Paolo Cremonesi, George Lekakos, 2013, EuroITV 2013.

Fitting second-order acyclic Marked Markovian Arrival Processes

Paolo Cremonesi, Giuliano Casale, Andrea Sansottera, 2013, 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Algorithms Aside: Recommendation As The Lens Of Life

Franca Garzotto, Martha Larson, Francesco Ricci, 2016, RecSys.

Texture analysis for image processing on general-purpose parallel machines

Paolo Cremonesi, Nello Scarabottolo, Lilla Böröczky, 1994, Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN).

Modeling the effects of node heterogeneity on the performance of a real Grid application

Roberto Turrin, Paolo Cremonesi, Vassil N. Alexandrov, 2008, 2008 International Symposium on Performance Evaluation of Computer and Telecommunication Systems.

A Virtual Teaching Assistant for Personalized Learning pdf

Paolo Cremonesi, Luca Benedetto, Manuel Parenti, 2019, CIKM Workshops.

EnergIT: A Methodology for the Incremental Green Design of Data Centers

Chiara Francalanci, Nicola Parolini, Paolo Cremonesi, 2013, Int. J. Green Comput..

A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment

Roberto Turrin, Paolo Cremonesi, Riccardo Bambini, 2011, Recommender Systems Handbook.

Hospital Emergency Department: An Insight by Means of Quantitative Methods

Marina Resta, Paolo Cremonesi, Marcello Montefiori, 2012 .

Time-evolution of IPTV recommender systems

Roberto Turrin, Paolo Cremonesi, P. Cremonesi, 2010, EuroITV.

User-Centric vs. System-Centric Evaluation of Recommender Systems

Franca Garzotto, Roberto Turrin, Paolo Cremonesi, 2013, INTERACT.

Sequence-aware recommendation

Paolo Cremonesi, Massimo Quadrana, 2018, RecSys.

Using Visual Features and Latent Factors for Movie Recommendation

Paolo Cremonesi, Yashar Deldjoo, Mehdi Elahi, 2016, CBRecSys@RecSys.

Service Consolidation with End-to-End Response Time Constraints

Edoardo Amaldi, Jonatha Anselmi, Paolo Cremonesi, 2008, 2008 34th Euromicro Conference Software Engineering and Advanced Applications.

Predicting SPEC Benchmarks Values for Untested Systems

Paolo Cremonesi, Marco Bertoli, 2009, Int. CMG Conference.

Two-dimensional object recognition on parallel machines

Domenico G. Sorrenti, Paolo Cremonesi, A. Antola, 1996, Proceedings of 1996 IEEE Second International Conference on Algorithms and Architectures for Parallel Processing, ICA/sup 3/PP '96.

Parallel, distributed and network-based processing

Paolo Cremonesi, P. Cremonesi, 2006, J. Syst. Archit..

Cross-Domain Recommender Systems

Paolo Cremonesi, Shlomo Berkovsky, Iván Cantador, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Analysis and implementation of a parallelization strategy on a Navier-Stokes solver for shear flow simulations

Paolo Cremonesi, Giuseppe Passoni, Giancarlo Alfonsi, 2001, Parallel Comput..

Bridging Physical Space and Digital Landscape to Drive Retail Innovation

Franca Garzotto, Paolo Cremonesi, Massimo Valla, 2016, AVI.

Exact Asymptotic Analysis of Closed BCMP Networks with a Common Bottleneck

Jonatha Anselmi, Paolo Cremonesi, Jonatha Anselmi, 2008, ASMTA.

Image Processing on Parallel Machines: A Protocol For Managing Global Objects

Paolo Cremonesi, Nello Scarabottolo, Domenico G. Sorrenti, 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

The Importance of Song Context in Music Playlists

Markus Schedl, Gerhard Widmer, Paolo Cremonesi, 2017, RecSys Posters.

How to Integrate Load Testing with Capacity Planning

Paolo Cremonesi, Giuseppe Nardiello, 2009, Int. CMG Conference.

Performance of recommender algorithms on top-n recommendation tasks

Roberto Turrin, Yehuda Koren, Paolo Cremonesi, 2010, RecSys '10.

Consolidation of multi-tier workloads with performance and reliability constraints

William Fornaciari, Paolo Cremonesi, Andrea Sansottera, 2012, 2012 International Conference on High Performance Computing & Simulation (HPCS).

Content-Based Video Recommendation System Based on Stylistic Visual Features

Franca Garzotto, Pietro Piazzolla, Paolo Cremonesi, 2016, Journal on Data Semantics.

2005 Workshop on Techniques, Methodologies and Tools for Performance Evaluation of Complex Systems

Michele Colajanni, Giuseppe Serazzi, Paolo Valente, 2005 .

A comparison of recommender systems for mashup composition

Paolo Cremonesi, Maristella Matera, Matteo Picozzi, 2012, 2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE).

Performance evaluation of parallel systems

Giuseppe Serazzi, Evgenia Smirni, Paolo Cremonesi, 1999, Parallel Comput..

A Graph Optimization Approach to Item-Based Collaborative Filtering

Borzou Rostami, Federico Malucelli, Paolo Cremonesi, 2013, Recent Advances in Computational Optimization.

Hybrid algorithms for recommending new items

Fabio Airoldi, Roberto Turrin, Paolo Cremonesi, 2011, HetRec '11.

User effort vs. accuracy in rating-based elicitation

Franca Garzotto, Roberto Turrin, Paolo Cremonesi, 2012, RecSys.

An application of bicriterion shortest paths to collaborative filtering

Borzou Rostami, Federico Malucelli, Paolo Cremonesi, 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

Kohonen neural networks: a parallel algorithm for automatic signal reconstruction

Paolo Cremonesi, 1995, HPCN Europe.

Toward Active Learning in Cross-domain Recommender Systems pdf

Roberto Pagano, Paolo Cremonesi, Massimo Quadrana, 2017, ArXiv.

Tutorial on cross-domain recommender systems

Paolo Cremonesi, Iván Cantador, Iván Cantador, 2014, RecSys '14.

Motion detection on distributed-memory machines: a case study

Paolo Cremonesi, N. Scarabottolo, M. Pugassi, 1995, Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing.

Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems

Martha Larson, Alexandros Karatzoglou, Paolo Cremonesi, 2014, RecSys '14.

TV program detection in tweets

Roberto Pagano, Roberto Turrin, Paolo Cremonesi, 2013, EuroITV.

A QoS-based selection approach of autonomic grid services

Danilo Ardagna, Jonatha Anselmi, Paolo Cremonesi, 2007, SOCP '07.

Cooling-aware workload placement with performance constraints

Paolo Cremonesi, Andrea Sansottera, P. Cremonesi, 2011, Perform. Evaluation.

Investigating the Decision Making Process of Users based on the PoliMovie Dataset

Paolo Cremonesi, Mehdi Elahi, Mona Naseri, 2015, DMRS.

Estimate Features Relevance for Groups of Users

Paolo Cremonesi, Leonardo Cella, Stefano Cereda, 2017, IIR.

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

Alexandros Karatzoglou, Paolo Cremonesi, Balázs Hidasi, 2017, RecSys.

Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback

Letizia Tanca, Roberto Pagano, Paolo Cremonesi, 2015, EC-Web.

Interaction Design Patterns in Recommender Systems

Franca Garzotto, Paolo Cremonesi, Mehdi Elahi, 2015, CHItaly.

Benchmarking - A Methodology for Ensuring the Relative Quality of Recommendation Systems in Software Engineering

Alan Said, Paolo Cremonesi, Domonkos Tikk, 2014, Recommendation Systems in Software Engineering.

Experiences on using a workstation cluster to implement a real-time digital transient network analyzer

L. Barretta, Paolo Cremonesi, N. Scarabottolo, 1995, ICDS '95. First International Conference on Digital Power System Simulators.

Using visual features based on MPEG-7 and deep learning for movie recommendation

Paolo Cremonesi, Massimo Quadrana, Yashar Deldjoo, 2018, International Journal of Multimedia Information Retrieval.

Exploring the Semantic Gap for Movie Recommendations

Paolo Cremonesi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, 2017, RecSys.

A novel graph-based model for hybrid recommendations in cold-start scenarios pdf

Paolo Cremonesi, Cesare Bernardis, Maurizio Ferrari Dacrema, 2018, ArXiv.

Approximate Solution of Multiclass Queuing Networks with Region Constraints

Jonatha Anselmi, Paolo Cremonesi, Giuliano Casale, 2007, 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

User Preference Sources: Explicit vs. Implicit Feedback

Franca Garzotto, Paolo Cremonesi, Maurizio Ferrari Dacrema, 2018, Collaborative Recommendations.

Robust Workload Estimation in Queueing Network Performance Models

Roberto Turrin, Paolo Cremonesi, Giuliano Casale, 2008, 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008).

A unified framework for the bottleneck analysis of multiclass queueing networks

Jonatha Anselmi, Paolo Cremonesi, Jonatha Anselmi, 2010, Perform. Evaluation.

Social Network based Short-Term Stock Trading System pdf

Chiara Francalanci, Roberto Pagano, Paolo Cremonesi, 2018, ArXiv.

On the Consolidation of Data-Centers with Performance Constraints

Edoardo Amaldi, Jonatha Anselmi, Paolo Cremonesi, 2009, QoSA.

Integrated Performance Models for SPMD Applications and MIMD Architectures

Claudio Gennaro, Paolo Cremonesi, 2002, IEEE Trans. Parallel Distributed Syst..

Recommender Systems Leveraging Multimedia Content

Gabriella Pasi, Markus Schedl, Paolo Cremonesi, 2020, ACM Comput. Surv..

Bounding the Performance of BCMP Networks with Load-Dependent Stations

Jonatha Anselmi, Paolo Cremonesi, Jonatha Anselmi, 2008, 2008 IEEE International Symposium on Modeling, Analysis and Simulation of Computers and Telecommunication Systems.

Performance models for desktop grids

Roberto Turrin, Paolo Cremonesi, 2007 .

User profiling vs. accuracy in recommender system user experience

Franca Garzotto, Paolo Cremonesi, Francesco Epifania, 2012, AVI.

Indirect estimation of service demands in the presence of structural changes

Paolo Cremonesi, Andrea Sansottera, 2014, Perform. Evaluation.

A Unifying Framework for the Approximate Solution of Closed Multiclass Queuing Networks

Giuseppe Serazzi, Paul J. Schweitzer, Paolo Cremonesi, 2002, IEEE Trans. Computers.

Recommending without short head

Franca Garzotto, Roberto Pagano, Paolo Cremonesi, 2014, WWW '14 Companion.

Toward a new fashion concepts design tool: The vMannequin framework

Franca Garzotto, Mauro Iacono, Pietro Piazzolla, 2016 .

A Characterization Methodology for Parallel Systems Benchmarks

Giuseppe Serazzi, Paolo Cremonesi, Lorenzo Muttoni, 2004, ISCA PDCS.

Xaba: Exact, Approximate, and Asymptotic Solvers for Multi-class Closed Queueing Networks

Giuseppe Serazzi, Paolo Cremonesi, Emilia Rosti, 2000, Computer Performance Evaluation / TOOLS.

Tutorial: Sequence-Aware Recommender Systems

Dietmar Jannach, Paolo Cremonesi, Massimo Quadrana, 2019, WWW.

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation pdf

Paolo Cremonesi, Massimo Quadrana, Yashar Deldjoo, 2017, ArXiv.

Performance models for hierarchical grid architectures

Roberto Turrin, Paolo Cremonesi, 2006, 2006 7th IEEE/ACM International Conference on Grid Computing.

On the Cooling-Aware Workload Placement Problem

Paolo Cremonesi, Andrea Sansottera, Stefano Gualandi, 2011, AI for Data Center Management and Cloud Computing.

Smart Lighting for Fashion Store Windows

Franca Garzotto, Pietro Piazzolla, Paolo Cremonesi, 2016, AVI.

Do Metrics Make Recommender Algorithms?

Roberto Turrin, Paolo Cremonesi, Elica Campochiaro, 2009, 2009 International Conference on Advanced Information Networking and Applications Workshops.

Decision-Making in Recommender Systems: The Role of User's Goals and Bounded Resources

Franca Garzotto, Roberto Turrin, Paolo Cremonesi, 2012, Decisions@RecSys.

Content-Based Multimedia Recommendation Systems: Definition and Application Domains

Markus Schedl, Gabriella Pasi, Paolo Cremonesi, 2018, IIR.

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features

Paolo Cremonesi, Massimo Quadrana, Yashar Deldjoo, 2015, EC-Web.

User interface patterns in recommendation-empowered content intensive multimedia applications

Franca Garzotto, Paolo Cremonesi, Mehdi Elahi, 2017, Multimedia Tools and Applications.

Analysis of cold-start recommendations in IPTV systems

Roberto Turrin, Paolo Cremonesi, P. Cremonesi, 2009, RecSys '09.

Deriving Item Features Relevance from Collaborative Domain Knowledge pdf

Paolo Cremonesi, Maurizio Ferrari Dacrema, Alberto Gasparin, 2018, KaRS@RecSys.

The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems

Martha Larson, Alexandros Karatzoglou, Roberto Pagano, 2016, RecSys.

Eigenvalue analogy for confidence estimation in item-based recommender systems pdf

Paolo Cremonesi, Maurizio Ferrari Dacrema, 2018, ArXiv.

Polarized review summarization as decision making tool

Franca Garzotto, Roberto Pagano, Paolo Cremonesi, 2014, AVI.

The effect of different video summarization models on the quality of video recommendation based on low-level visual features

Markus Schedl, Paolo Cremonesi, Massimo Quadrana, 2017, CBMI.

Sequence-Aware Recommender Systems

Dietmar Jannach, Paolo Cremonesi, Massimo Quadrana, 2018, UMAP.

The Potentials of Recommender Systems Challenges for Student Learning

Frank Hopfgartner, Alexandros Karatzoglou, Benjamin Kille, 2016, NIPS 2016.

30Music Listening and Playlists Dataset

Roberto Pagano, Roberto Turrin, Paolo Cremonesi, 2015, RecSys Posters.

A control architecture for managing instructions among partitions of a data parallel structure

Paolo Cremonesi, Domenico G. Sorrenti, 1995, Proceedings Euromicro Workshop on Parallel and Distributed Processing.

Kernalized Collaborative Contextual Bandits

Paolo Cremonesi, Romaric Gaudel, Leonardo Cella, 2017, RecSys Posters.

Looking for "Good" Recommendations: A Comparative Evaluation of Recommender Systems

Franca Garzotto, Roberto Turrin, Paolo Cremonesi, 2011, INTERACT.

Top-N recommendations on Unpopular Items with Contextual Knowledge

Roberto Turrin, Paolo Garza, Paolo Cremonesi, 2011, RecSys 2011.

User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd

Martha Larson, Frank Hopfgartner, Alexandros Karatzoglou, 2014, UMAP Workshops.

Workload models of VBR video traffic and their use in resource allocation policies

Pietro Manzoni, Giuseppe Serazzi, Paolo Cremonesi, 1999, TNET.

Sequence-aware Recommender Systems

Dietmar Jannach, Paolo Cremonesi, Massimo Quadrana, 2018, UMAP.

Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study

Franca Garzotto, Paolo Cremonesi, 2013, EC-Web.

Performance characterization of Quadrics machines based on high-level languages

Paolo Cremonesi, Matteo Pugassi, 1997, EUROMICRO 97. Proceedings of the 23rd EUROMICRO Conference: New Frontiers of Information Technology (Cat. No.97TB100167).

Optimal virtual machine scheduling with anvik

Paolo Cremonesi, Andrea Sansottera, 2013, VALUETOOLS.

A software control structure for managing partitions of a data parallel program

Paolo Cremonesi, Domenico G. Sorrenti, N. Scarabottolo, 1997 .

Integrated Performance Models for SPMD Applications and MIMD Architectures

Claudio Gennaro, Paolo Cremonesi, C. Gennaro, 2002, IEEE Trans. Parallel Distributed Syst..

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles

Franca Garzotto, Paolo Cremonesi, Massimo Quadrana, 2015, CHItaly.

MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval

Markus Schedl, Bogdan Ionescu, Paolo Cremonesi, 2018, MMSys.

User-Centered Evaluation of Recommender Systems with Comparison between Short and Long Profile

Paolo Cremonesi, Francesco Epifania, P. Cremonesi, 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System

Paolo Cremonesi, Yashar Deldjoo, Massimo Valla, 2017, IIR.

Cross-domain recommendations without overlapping data: myth or reality?

Paolo Cremonesi, Massimo Quadrana, P. Cremonesi, 2014, RecSys '14.

Performance Issues in Video Streaming Environments

Giuseppe Serazzi, Stefano Zanero, Paolo Cremonesi, 2005, 2005 Workshop on Techniques, Methodologies and Tools for Performance Evaluation of Complex Systems (FIRB-PERF'05).

Cross-Domain Recommender Systems

Roberto Turrin, Paolo Cremonesi, Antonio Tripodi, 2015, Recommender Systems Handbook.

REDD 2014 -- international workshop on recommender systems evaluation: dimensions and design

Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, 2014, RecSys '14.

Parallel algorithms applied to direct simulation methods

Paolo Cremonesi, Raffaella Pavani, Aldo Frezzotti, 1993, 1993 Euromicro Workshop on Parallel and Distributed Processing.

Multi-stack ensemble for job recommendation

Roberto Pagano, Paolo Cremonesi, Massimo Quadrana, 2016, RecSys Challenge '16.

Personalized interaction on large displays: the StreetSmart project approach

Franca Garzotto, Paolo Cremonesi, Massimo Valla, 2014, AVI.

Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking? pdf

Shengping Zhang, Matteo Matteucci, Paolo Cremonesi, 2016, ArXiv.

A Constraint Programming Approach for the Service Consolidation Problem

Paolo Cremonesi, Kanika Dhyani, Stefano Gualandi, 2010, CPAIOR.

Indirect Estimation of Service Demands in the Presence of Structural Changes

Paolo Cremonesi, Andrea Sansottera, P. Cremonesi, 2012, 2012 Ninth International Conference on Quantitative Evaluation of Systems.

Deriving Item Features Relevance from Past User Interactions

Paolo Cremonesi, Massimo Quadrana, Leonardo Cella, 2017, UMAP.

End-to-End Performance of Web Services

Giuseppe Serazzi, Paolo Cremonesi, G. Serazzi, 2002, Performance.

I/O Performance in Hybrid MIMD+SIMD Machines

Claudio Gennaro, Paolo Cremonesi, Roberto Marega, 1998, HPCN Europe.

Integrated Interaction with Large and Small Devices

Franca Garzotto, Paolo Cremonesi, Massimo Valla, 2015, FutureMobileUI@MobiSys.

Identifying network failures and evaluating link MTBF from utilization logs

Paolo Cremonesi, Giuliano Casale, Stefano Visconti, 2006, Int. CMG Conference.

Modeling response times in the Google ROADEF/EURO challenge

Paolo Cremonesi, Andrea Sansottera, 2012, PERV.

Towards Minimal Necessary Data: The Case for Analyzing Training Data Requirements of Recommender Algorithms

Martha Larson, Paolo Cremonesi, Babak Loni, 2017 .

On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text

Roberto Turrin, Paolo Cremonesi, Luca Benedetto, 2021, BEA.

Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text

Paolo Cremonesi, Luca Benedetto, Dries Benoit, 2021, RANLP.

Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting

Paolo Cremonesi, Nicolò Felicioni, Maurizio Ferrari Dacrema, 2021, IIR.

Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels

Paolo Cremonesi, Maurizio Ferrari Dacrema, Nicolo Felicioni, 2021, IMX.

Progress in Recommender Systems Research: Crisis? What Crisis?

Dietmar Jannach, Paolo Cremonesi, D. Jannach, 2022, AI Mag..

GAN-based matrix factorization for recommender systems

Paolo Cremonesi, Ervin Dervishaj, P. Cremonesi, 2022, SAC.

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering

Paolo Cremonesi, Maurizio Ferrari Dacrema, Fernando Benjam'in P'erez Maurera, 2022, ECIR.

CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions

Paolo Cremonesi, Stefano Doni, Stefano Cereda, 2021, Proc. VLDB Endow..

On the instability of embeddings for recommender systems: the case of matrix factorization

Paolo Cremonesi, Cesare Bernardis, Giovanni Gabbolini, 2021, SAC.

Feature Selection for Recommender Systems with Quantum Computing

Paolo Cremonesi, Maurizio Ferrari Dacrema, Riccardo Nembrini, 2021, Entropy.

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

Dietmar Jannach, Paolo Cremonesi, Maurizio Ferrari Dacrema, 2021, ACM Trans. Inf. Syst..

Optimizing the Selection of Recommendation Carousels with Quantum Computing

Paolo Cremonesi, Nicolò Felicioni, Maurizio Ferrari Dacrema, 2021, RecSys.

NFC: a deep and hybrid item-based model for item cold-start recommendation

Paolo Cremonesi, Cesare Bernardis, P. Cremonesi, 2021, User Modeling and User-Adapted Interaction.

A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels

Paolo Cremonesi, Maurizio Ferrari Dacrema, Nicolo Felicioni, 2021, UMAP.

Eigenvalue Perturbation for Item-based Recommender Systems

Paolo Cremonesi, Cesare Bernardis, P. Cremonesi, 2021, RecSys.