Parallel algorithms applied to direct simulation methods. - Paolo Cremonesi; M. Ferrari; Aldo Frezzotti; Raffaella Pavani (PDP, 1993)

An Adjustable-Rate Multilevel Coded Modulation System: Analysis and Implementation. - Paolo Cremonesi; Roberto Pellizzoni; Arnaldo Spalvieri; Ezio Biglieri (Eur. Trans. Telecommun., 1993)

Texture analysis for image processing on general-purpose parallel machines. - Lilla Böröczky; Paolo Cremonesi; Nello Scarabottolo (ISPAN, 1994)

Image Processing on Parallel Machines: A Protocol For Managing Global Objects. - Paolo Cremonesi; Nello Scarabottolo; Domenico G. Sorrenti (PDP, 1994)

Kohonen neural networks: a parallel algorithm for automatic signal reconstruction. - Paolo Cremonesi (HPCN Europe, 1995)

A control architecture for managing instructions among partitions of a data parallel structure. - Paolo Cremonesi; Domenico G. Sorrenti (PDP, 1995)

Performance Characterization of Quadrics Machines Based on HighLevel Languages. - Paolo Cremonesi; Matteo Pugassi (EUROMICRO, 1997)

I/O Performance in Hybrid MIMD+SIMD Machines. - Paolo Cremonesi; Claudio Gennaro; Roberto Marega (HPCN Europe, 1998)

Performance evaluation of parallel systems. - Paolo Cremonesi; Emilia Rosti; Giuseppe Serazzi; Evgenia Smirni (Parallel Comput., 1999)

Workload models of VBR video traffic and their use in resource allocation policies. - Pietro Manzoni; Paolo Cremonesi; Giuseppe Serazzi (IEEE/ACM Trans. Netw., 1999)

Xaba: Exact, Approximate, and Asymptotic Solvers for Multi-class Closed Queueing Networks. - Paolo Cremonesi; Emilia Rosti; Giuseppe Serazzi (Computer Performance Evaluation / TOOLS, 2000)

Analysis and implementation of a parallelization strategy on a Navier-Stokes solver for shear flow simulations. - Giuseppe Passoni; Paolo Cremonesi; Giancarlo Alfonsi (Parallel Comput., 2001)

End-to-End Performance of Web Services. - Paolo Cremonesi; Giuseppe Serazzi (Performance, 2002)

A Unifying Framework for the Approximate Solution of Closed Multiclass Queuing Networks. - Paolo Cremonesi; Paul J. Schweitzer; Giuseppe Serazzi (IEEE Trans. Computers, 2002)

Integrated Performance Models for SPMD Applications and MIMD Architectures. - Paolo Cremonesi; Claudio Gennaro (IEEE Trans. Parallel Distributed Syst., 2002)

A Characterization Methodology for Parallel Systems Benchmarks. - Paolo Cremonesi; Lorenzo Muttoni; Giuseppe Serazzi (PDCS, 2004)

Performance Issues in Video Streaming Environments. - Giuliano Casale; Paolo Cremonesi; Giuseppe Serazzi; Stefano Zanero (FIRB-Perf, 2005)

Identifying network failures and evaluating link MTBF from utilization logs. - Paolo Cremonesi; Giuliano Casale; Stefano Visconti (Int. CMG Conference, 2006)

Performance models for hierarchical grid architectures. - Paolo Cremonesi; Roberto Turrin (GRID, 2006)

Parallel, distributed and network-based processing. - Paolo Cremonesi (J. Syst. Archit., 2006)

How to Select Significant Workloads in Performance Models. - Paolo Cremonesi; Giuliano Casale (Int. CMG Conference, 2007)

A QoS-based selection approach of autonomic grid services. - Jonatha Anselmi; Danilo Ardagna; Paolo Cremonesi (SOCP@HPDC, 2007)

Approximate Solution of Multiclass Queuing Networks with Region Constraints. - Jonatha Anselmi; Giuliano Casale; Paolo Cremonesi (MASCOTS, 2007)

Exact Asymptotic Analysis of Closed BCMP Networks with a Common Bottleneck. - Jonatha Anselmi; Paolo Cremonesi (ASMTA, 2008)

Bounding the Performance of BCMP Networks with Load-Dependent Stations. - Jonatha Anselmi; Paolo Cremonesi (MASCOTS, 2008)

Robust Workload Estimation in Queueing Network Performance Models. - Giuliano Casale; Paolo Cremonesi; Roberto Turrin (PDP, 2008)

Service Consolidation with End-to-End Response Time Constraints. - Jonatha Anselmi; Edoardo Amaldi; Paolo Cremonesi (EUROMICRO-SEAA, 2008)

Do Metrics Make Recommender Algorithms?. - Elica Campochiaro; Riccardo Casatta; Paolo Cremonesi; Roberto Turrin (AINA Workshops, 2009)

Predicting SPEC Benchmarks Values for Untested Systems. - Paolo Cremonesi; Marco Bertoli (Int. CMG Conference, 2009)

How to Integrate Load Testing with Capacity Planning. - Paolo Cremonesi; Giuseppe Nardiello (Int. CMG Conference, 2009)

Estimating Server Power Consumption. - Paolo Cremonesi; Giovanni Versaci (Int. CMG Conference, 2009)

On the Consolidation of Data-Centers with Performance Constraints. - Jonatha Anselmi; Paolo Cremonesi; Edoardo Amaldi (QoSA, 2009)

Analysis of cold-start recommendations in IPTV systems. - Paolo Cremonesi; Roberto Turrin (RecSys, 2009)

Modeling the Effects of Node Heterogeneity on the Performance of Grid Applications. - Paolo Cremonesi; Roberto Turrin; Vassil N. Alexandrov (J. Networks, 2009)

Service Time Estimation with a Refinement Enhanced Hybrid Clustering Algorithm. - Paolo Cremonesi; Kanika Dhyani; Andrea Sansottera (ASMTA, 2010)

A Constraint Programming Approach for the Service Consolidation Problem. - Kanika Dhyani; Stefano Gualandi; Paolo Cremonesi (CPAIOR, 2010)

Time-evolution of IPTV recommender systems. - Paolo Cremonesi; Roberto Turrin (EuroITV, 2010)

Controlling Consistency in Top-N Recommender Systems. - Paolo Cremonesi; Roberto Turrin (ICDM Workshops, 2010)

Performance of recommender algorithms on top-n recommendation tasks. - Paolo Cremonesi; Yehuda Koren; Roberto Turrin (RecSys, 2010)

A unified framework for the bottleneck analysis of multiclass queueing networks. - Jonatha Anselmi; Paolo Cremonesi (Perform. Evaluation, 2010)

On the Cooling-Aware Workload Placement Problem. - Paolo Cremonesi; Andrea Sansottera; Stefano Gualandi (AI for Data Center Management and Cloud Computing, 2011)

Comparative evaluation of recommender system quality. - Paolo Cremonesi; Franca Garzotto; Sara Negro; Alessandro Vittorio Papadopoulos; Roberto Turrin (CHI Extended Abstracts, 2011)

Optimizing cooling and server power consumption. - Paolo Cremonesi; Andrea Sansottera; Stefano Gualandi (ICCP, 2011)

Cross-Domain Recommender Systems. - Paolo Cremonesi; Antonio Tripodi; Roberto Turrin (ICDM Workshops, 2011)

Looking for "Good" Recommendations: A Comparative Evaluation of Recommender Systems. - Paolo Cremonesi; Franca Garzotto; Sara Negro; Alessandro Vittorio Papadopoulos; Roberto Turrin (INTERACT (3), 2011)

Hybrid algorithms for recommending new items. - Paolo Cremonesi; Roberto Turrin; Fabio Airoldi (HetRec@RecSys, 2011)

Cooling-aware workload placement with performance constraints. - Andrea Sansottera; Paolo Cremonesi (Perform. Evaluation, 2011)

A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment. - Riccardo Bambini; Paolo Cremonesi; Roberto Turrin (Recommender Systems Handbook, 2011)

User profiling vs. accuracy in recommender system user experience. - Paolo Cremonesi; Francesco Epifania; Franca Garzotto (AVI, 2012)

User-Centered Evaluation of Recommender Systems with Comparison between Short and Long Profile. - Francesco Epifania; Paolo Cremonesi (CISIS, 2012)

An Application of Bicriterion Shortest Paths to Collaborative Filtering. - Federico Malucelli; Paolo Cremonesi; Borzou Rostami (FedCSIS, 2012)

A comparison of recommender systems for mashup composition. - Paolo Cremonesi; Matteo Picozzi; Maristella Matera (RSSE@ICSE, 2012)

Consolidation of multi-tier workloads with performance and reliability constraints. - Andrea Sansottera; Davide Zoni; Paolo Cremonesi; William Fornaciari (HPCS, 2012)

Decision-Making in Recommender Systems: The Role of User's Goals and Bounded Resources. - Paolo Cremonesi; Antonio Donatacci; Franca Garzotto; Roberto Turrin (Decisions@RecSys, 2012)

User effort vs. accuracy in rating-based elicitation. - Paolo Cremonesi; Franca Garzotto; Roberto Turrin (RecSys, 2012)

Recommender Systems Evaluation: A 3D Benchmark. - Alan Said; Domonkos Tikk; Klara Stumpf; Yue Shi 002; Martha A. Larson; Paolo Cremonesi (RUE@RecSys, 2012)

Modeling response times in the Google ROADEF/EURO challenge. - Paolo Cremonesi; Andrea Sansottera (SIGMETRICS Perform. Evaluation Rev., 2012)

Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective: An Empirical Study. - Paolo Cremonesi; Franca Garzotto; Roberto Turrin (ACM Trans. Interact. Intell. Syst., 2012)

Fitting second-order acyclic Marked Markovian Arrival Processes. - Andrea Sansottera; Giuliano Casale; Paolo Cremonesi (DSN, 2013)

Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study. - Paolo Cremonesi; Franca Garzotto (EC-Web, 2013)

TV program detection in tweets. - Paolo Cremonesi; Roberto Pagano; Stefano Pasquali; Roberto Turrin (EuroITV, 2013)

User-Centric vs. System-Centric Evaluation of Recommender Systems. - Paolo Cremonesi; Franca Garzotto; Roberto Turrin (INTERACT (3), 2013)

Evaluating top-n recommendations "when the best are gone". - Paolo Cremonesi; Franca Garzotto; Massimo Quadrana (RecSys, 2013)

Optimal virtual machine scheduling with anvik. - Andrea Sansottera; Paolo Cremonesi (VALUETOOLS, 2013)

EnergIT: A Methodology for the Incremental Green Design of Data Centers. - Eugenio Capra; Paolo Cremonesi; Chiara Francalanci; Francesco Merlo; Nicola Parolini (Int. J. Green Comput., 2013)

A Graph Optimization Approach to Item-Based Collaborative Filtering. - Borzou Rostami; Paolo Cremonesi; Federico Malucelli (Recent Advances in Computational Optimization, 2013)

Benchmarking - A Methodology for Ensuring the Relative Quality of Recommendation Systems in Software Engineering. - Alan Said; Domonkos Tikk; Paolo Cremonesi (Recommendation Systems in Software Engineering, 2014)

First International Workshop on User Interfaces for Crowdsourcing and Human Computation. - Alessandro Bozzon; Lora Aroyo; Paolo Cremonesi (AVI, 2014)

Polarized review summarization as decision making tool. - Paolo Cremonesi; Raffaele Facendola; Franca Garzotto; Matteo Guarnerio; Mattia Natali; Roberto Pagano (AVI, 2014)

Personalized interaction on large displays: the StreetSmart project approach. - Paolo Cremonesi; Antonella Di Rienzo; Cristina Frà; Franca Garzotto; Luigi Oliveto; Massimo Valla (AVI, 2014)

REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. - Panagiotis Adamopoulos; Alejandro Bellogín; Pablo Castells; Paolo Cremonesi; Harald Steck (RecSys, 2014)

Tutorial on cross-domain recommender systems. - Iván Cantador; Paolo Cremonesi (RecSys, 2014)

Cross-domain recommendations without overlapping data: myth or reality? - Paolo Cremonesi; Massimo Quadrana (RecSys, 2014)

Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. - Martha A. Larson; Paolo Cremonesi; Alexandros Karatzoglou (RecSys, 2014)

User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd. - Alan Said; Martha A. Larson; Domonkos Tikk; Paolo Cremonesi; Alexandros Karatzoglou; Frank Hopfgartner; Roberto Turrin; Joost Geurts (UMAP Workshops, 2014)

Recommending without short head. - Paolo Cremonesi; Franca Garzotto; Roberto Pagano; Massimo Quadrana (WWW (Companion Volume), 2014)

Indirect estimation of service demands in the presence of structural changes. - Paolo Cremonesi; Andrea Sansottera (Perform. Evaluation, 2014)

Interaction Design Patterns in Recommender Systems. - Paolo Cremonesi; Mehdi Elahi; Franca Garzotto (CHItaly, 2015)

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi; Franca Garzotto (CHItaly, 2015)

Decision Making through Polarized Summarization of User Reviews. - Paolo Cremonesi; Franca Garzotto; Matteo Guarnerio; Francesco Gusmeroli; Roberto Pagano (DMRS, 2015)

Investigating the Decision Making Process of Users based on the PoliMovie Dataset. - Mona Naseri; Mehdi Elahi; Paolo Cremonesi (DMRS, 2015)

Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback. - Paolo Cremonesi; Primo Modica; Roberto Pagano; Emanuele Rabosio; Letizia Tanca (EC-Web, 2015)

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (EC-Web, 2015)

Towards a smart retail environment. - Antonella Di Rienzo; Franca Garzotto; Paolo Cremonesi; Cristina Frà; Massimo Valla (UbiComp/ISWC Adjunct, 2015)

Integrated Interaction with Large and Small Devices. - Antonella Di Rienzo; Franca Garzotto; Paolo Cremonesi; Cristina Frà; Massimo Valla (FutureMobileUI@MobiSys, 2015)

30Music Listening and Playlists Dataset. - Roberto Turrin; Massimo Quadrana; Andrea Condorelli; Roberto Pagano; Paolo Cremonesi (RecSys Posters, 2015)

Making Fashion More Trendy through Touchless Interactive Displays Integrated with Mobile Devices. - Franca Garzotto; Antonella Di Rienzo; Ayse Naciye Çelebi Yilmaz; Luigi Oliveto; Paolo Cremonesi; Cristina Frà; Massimo Valla (ITS, 2015)

Cross-Domain Recommender Systems. - Iván Cantador; Ignacio Fernández-Tobías; Shlomo Berkovsky; Paolo Cremonesi (Recommender Systems Handbook, 2015)

Smart Lighting for Fashion Store Windows. - Paolo Cremonesi; Antonella Di Rienzo; Franca Garzotto; Luigi Oliveto; Pietro Piazzolla (AVI, 2016)

Bridging Physical Space and Digital Landscape to Drive Retail Innovation. - Antonella Di Rienzo; Paolo Tagliaferri; Francesco Arenella; Franca Garzotto; Cristina Frà; Paolo Cremonesi; Massimo Valla (AVI, 2016)

Dynamic and Interactive Lighting for Fashion Store Windows. - Paolo Cremonesi; Antonella Di Rienzo; Franca Garzotto; Luigi Oliveto; Pietro Piazzolla (CHI Extended Abstracts, 2016)

Recommending Movies Based on Mise-en-Scene Design. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla (CHI Extended Abstracts, 2016)

vMannequin: A Fashion Store Concept Design Tool. - Paolo Cremonesi; Franca Garzotto; Marco Gribaudo; Pietro Piazzolla; Mauro Iacono (ECMS, 2016)

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Farshad Bakhshandegan Moghaddam; Andrea Luigi Edoardo Caielli (EC-Web, 2016)

Explicit Elimination of Similarity Blocking for Session-based Recommendation. - Mattia Brusamento; Roberto Pagano; Martha A. Larson; Paolo Cremonesi (RecSys Posters, 2016)

Multi-stack ensemble for job recommendation. - Tommaso Carpi; Marco Edemanti; Ervin Kamberoski; Elena Sacchi; Paolo Cremonesi; Roberto Pagano; Massimo Quadrana (RecSys Challenge, 2016)

Using Visual Features and Latent Factors for Movie Recommendation. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi (CBRecSys@RecSys, 2016)

Algorithms Aside: Recommendation As The Lens Of Life. - 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; et al. (RecSys, 2016)

The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. - Roberto Pagano; Paolo Cremonesi; Martha A. Larson; Balázs Hidasi; Domonkos Tikk; Alexandros Karatzoglou; Massimo Quadrana (RecSys, 2016)

Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking? - Yashar Deldjoo; Shengping Zhang; Bahman Zanj; Paolo Cremonesi; Matteo Matteucci (CoRR, 2016)

Compact Markov-modulated models for multiclass trace fitting. - Giuliano Casale; Andrea Sansottera; Paolo Cremonesi (Eur. J. Oper. Res., 2016)

Content-Based Video Recommendation System Based on Stylistic Visual Features. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla; Massimo Quadrana (J. Data Semant., 2016)

Introduction to the Special Issue on Recommender System Benchmarking. - Paolo Cremonesi; Alan Said; Domonkos Tikk; Michelle X. Zhou (ACM Trans. Intell. Syst. Technol., 2016)

The effect of different video summarization models on the quality of video recommendation based on low-level visual features. - Yashar Deldjoo; Paolo Cremonesi; Markus Schedl; Massimo Quadrana (CBMI, 2017)

Estimate Features Relevance for Groups of Users. - Stefano Cereda; Leonardo Cella; Paolo Cremonesi (IIR, 2017)

Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System. - Yashar Deldjoo; Cristina Frà; Massimo Valla; Paolo Cremonesi (IIR, 2017)

Kernalized Collaborative Contextual Bandits. - Leonardo Cella; Romaric Gaudel; Paolo Cremonesi (RecSys Posters, 2017)

Exploring the Semantic Gap for Movie Recommendations. - Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cereda; Paolo Cremonesi (RecSys, 2017)

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. - Massimo Quadrana; Alexandros Karatzoglou; Balázs Hidasi; Paolo Cremonesi (RecSys, 2017)

The Importance of Song Context in Music Playlists. - Andreu Vall; Massimo Quadrana; Markus Schedl; Gerhard Widmer; Paolo Cremonesi (RecSys Posters, 2017)

Deriving Item Features Relevance from Past User Interactions. - Leonardo Cella; Stefano Cereda; Massimo Quadrana; Paolo Cremonesi (UMAP, 2017)

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. - Yashar Deldjoo; Massimo Quadrana; Mehdi Elahi; Paolo Cremonesi (CoRR, 2017)

Toward Active Learning in Cross-domain Recommender Systems. - Roberto Pagano; Massimo Quadrana; Mehdi Elahi; Paolo Cremonesi (CoRR, 2017)

User interface patterns in recommendation-empowered content intensive multimedia applications. - Paolo Cremonesi; Mehdi Elahi; Franca Garzotto (Multim. Tools Appl., 2017)

User Preference Sources: Explicit vs. Implicit Feedback. - Paolo Cremonesi; Franca Garzotto; Maurizio Ferrari Dacrema (Collaborative Recommendations, 2018)

A Virtual Teaching Assistant for Personalized Learning. - Luca Benedetto; Paolo Cremonesi; Manuel Parenti (CIKM Workshops, 2018)

Content-Based Multimedia Recommendation Systems: Definition and Application Domains. - Yashar Deldjoo; Markus Schedl; Paolo Cremonesi; Gabriella Pasi (IIR, 2018)

MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval. - Yashar Deldjoo; Mihai Gabriel Constantin; Bogdan Ionescu; Markus Schedl; Paolo Cremonesi (MMSys, 2018)

Deriving Item Features Relevance from Collaborative Domain Knowledge. - Maurizio Ferrari Dacrema; Alberto Gasparin; Paolo Cremonesi (KaRS@RecSys, 2018)

Audio-visual encoding of multimedia content for enhancing movie recommendations. - Yashar Deldjoo; Mihai Gabriel Constantin; Hamid Eghbal-Zadeh; Bogdan Ionescu; Markus Schedl; Paolo Cremonesi (RecSys, 2018)

Sequence-aware recommendation. - Massimo Quadrana; Paolo Cremonesi (RecSys, 2018)

Social Network based Short-Term Stock Trading System. - Paolo Cremonesi; Chiara Francalanci; Alessandro Poli; Roberto Pagano; Luca Mazzoni; Alberto Maggioni; Mehdi Elahi (CoRR, 2018)

A novel graph-based model for hybrid recommendations in cold-start scenarios. - Cesare Bernardis; Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2018)

Eigenvalue analogy for confidence estimation in item-based recommender systems. - Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2018)

Sequence-Aware Recommender Systems. - Massimo Quadrana; Paolo Cremonesi; Dietmar Jannach (ACM Comput. Surv., 2018)

Using visual features based on MPEG-7 and deep learning for movie recommendation. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (Int. J. Multim. Inf. Retr., 2018)

Rexy, A Configurable Application for Building Virtual Teaching Assistants. - Luca Benedetto; Paolo Cremonesi (INTERACT (2), 2019)

Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. - Luca Luciano Costanzo; Yashar Deldjoo; Maurizio Ferrari Dacrema; Markus Schedl; Paolo Cremonesi (IntRS@RecSys, 2019)

A pragmatic and industry-aware approach toward the design of on-line recommender systems. - Paolo Cremonesi (ORSUM@RecSys, 2019)

Are we really making much progress? A worrying analysis of recent neural recommendation approaches. - Maurizio Ferrari Dacrema; Paolo Cremonesi; Dietmar Jannach (RecSys, 2019)

Estimating Confidence of Individual User Predictions in Item-based Recommender Systems. - Cesare Bernardis; Maurizio Ferrari Dacrema; Paolo Cremonesi (UMAP, 2019)

Tutorial: Sequence-Aware Recommender Systems. - Massimo Quadrana; Dietmar Jannach; Paolo Cremonesi (WWW (Companion Volume), 2019)

Movie genome: alleviating new item cold start in movie recommendation. - Yashar Deldjoo; Maurizio Ferrari Dacrema; Mihai Gabriel Constantin; Hamid Eghbal-zadeh; Stefano Cereda; Markus Schedl; Bogdan Ionescu; Paolo Cremonesi (User Model. User Adapt. Interact., 2019)

Introducing a Framework to Assess Newly Created Questions with Natural Language Processing. - Luca Benedetto; Andrea Cappelli; Roberto Turrin; Paolo Cremonesi (AIED (1), 2020)

Outfit Completion and Clothes Recommendation. - Gabriele Prato 002; Federico Sallemi; Paolo Cremonesi; Mario Scriminaci; Stefan Gudmundsson; Silvio Palumbo (CHI Extended Abstracts, 2020)

Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. - Maurizio Ferrari Dacrema; Federico Parroni; Paolo Cremonesi; Dietmar Jannach (CIKM, 2020)

ContentWise Impressions: An Industrial Dataset with Impressions Included. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Lorenzo Saule; Mario Scriminaci; Paolo Cremonesi (CIKM, 2020)

Methodological Issues in Recommender Systems Research (Extended Abstract). - Maurizio Ferrari Dacrema; Paolo Cremonesi; Dietmar Jannach (IJCAI, 2020)

R2DE: a NLP approach to estimating IRT parameters of newly generated questions. - Luca Benedetto; Andrea Cappelli; Roberto Turrin; Paolo Cremonesi (LAK, 2020)

A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations. - Stefano Cereda; Gianluca Palermo; Paolo Cremonesi; Stefano Doni (LCTES, 2020)

On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text. - Luca Benedetto; Giovanni Aradelli; Paolo Cremonesi; Andrea Cappelli; Andrea Giussani; Roberto Turrin (BEA@EACL, 2021)

Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting. - Nicolò Felicioni; Maurizio Ferrari Dacrema; Fernando Benjamín Pérez Maurera; Paolo Cremonesi (IIR, 2021)

Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text. - Ekaterina Loginova; Luca Benedetto; Dries F. Benoit; Paolo Cremonesi (RANLP, 2021)

Eigenvalue Perturbation for Item-based Recommender Systems. - Cesare Bernardis; Paolo Cremonesi (RecSys, 2021)

Optimizing the Selection of Recommendation Carousels with Quantum Computing. - Maurizio Ferrari Dacrema; Nicolò Felicioni; Paolo Cremonesi (RecSys, 2021)

On the instability of embeddings for recommender systems: the case of matrix factorization. - Giovanni Gabbolini; Edoardo D'Amico; Cesare Bernardis; Paolo Cremonesi (SAC, 2021)

Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. - Nicolò Felicioni; Maurizio Ferrari Dacrema; Paolo Cremonesi (IMX, 2021)

A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels. - Nicolò Felicioni; Maurizio Ferrari Dacrema; Paolo Cremonesi (UMAP (Adjunct Publication), 2021)

Progress in Recommender Systems Research: Crisis? What Crisis? - Paolo Cremonesi; Dietmar Jannach (AI Mag., 2021)

Recommender Systems Leveraging Multimedia Content. - Yashar Deldjoo; Markus Schedl; Paolo Cremonesi; Gabriella Pasi (ACM Comput. Surv., 2021)

Feature Selection for Recommender Systems with Quantum Computing. - Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (Entropy, 2021)

CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions. - Stefano Cereda; Stefano Valladares; Paolo Cremonesi; Stefano Doni (Proc. VLDB Endow., 2021)

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research. - Maurizio Ferrari Dacrema; Simone Boglio; Paolo Cremonesi; Dietmar Jannach (ACM Trans. Inf. Syst., 2021)

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (ECIR (1), 2022)

Evaluating Recommendations in a User Interface With Multiple Carousels. - Maurizio Ferrari Dacrema; Nicolò Felicioni; Paolo Cremonesi (IIR, 2022)

Feature Selection via Quantum Annealers for Ranking and Classification Tasks. - Maurizio Ferrari Dacrema; Fabio Moroni; Riccardo Nembrini; Nicola Ferro 001; Guglielmo Faggioli; Paolo Cremonesi (IIR, 2022)

Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2022)

Replication of Recommender Systems with Impressions. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2022)

Off-Policy Evaluation with Deficient Support Using Side Information. - Nicolò Felicioni; Maurizio Ferrari Dacrema; Marcello Restelli; Paolo Cremonesi (NeurIPS, 2022)

Virtual Network Function Embedding with Quantum Annealing. - Pietro Chiavassa; Andrea Marchesin; Ignazio Pedone; Maurizio Ferrari Dacrema; Paolo Cremonesi (QCE, 2022)

Feature Selection for Classification with QAOA. - Gloria Turati; Maurizio Ferrari Dacrema; Paolo Cremonesi (QCE, 2022)

Towards the Evaluation of Recommender Systems with Impressions. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (RecSys, 2022)

Towards Recommender Systems with Community Detection and Quantum Computing. - Riccardo Nembrini; Costantino Carugno; Maurizio Ferrari Dacrema; Paolo Cremonesi (RecSys, 2022)

GAN-based matrix factorization for recommender systems. - Ervin Dervishaj; Paolo Cremonesi (SAC, 2022)

On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms. - Matteo Montanari; Cesare Bernardis; Paolo Cremonesi (SAC, 2022)

Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. - Maurizio Ferrari Dacrema; Fabio Moroni; Riccardo Nembrini; Nicola Ferro 001; Guglielmo Faggioli; Paolo Cremonesi (SIGIR, 2022)

Recommending Relevant Papers to Conference Participants: a Deep Learning Driven Content-based Approach. - Federico Rios; Paolo Rizzo; Francesco Puddu; Federico Romeo; Andrea Lentini; Giuseppe Asaro; Filippo Rescalli; Cristiana Bolchini; Paolo Cremonesi (UMAP (Adjunct Publication), 2022)

From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. - Cesare Bernardis; Maurizio Ferrari Dacrema; Fernando Benjamín Pérez Maurera; Massimo Quadrana; Mario Scriminaci; Paolo Cremonesi (IEEE Access, 2022)

Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels. - Maurizio Ferrari Dacrema; Nicolò Felicioni; Paolo Cremonesi (Frontiers Big Data, 2022)

Analyzing and improving stability of matrix factorization for recommender systems. - Edoardo D'Amico; Giovanni Gabbolini; Cesare Bernardis; Paolo Cremonesi (J. Intell. Inf. Syst., 2022)

NFC: a deep and hybrid item-based model for item cold-start recommendation. - Cesare Bernardis; Paolo Cremonesi (User Model. User Adapt. Interact., 2022)

Preface to the special issue on dynamic recommender systems and user models. - João Vinagre; Alípio Mário Jorge; Marie Al-Ghossein; Albert Bifet; Paolo Cremonesi (User Model. User Adapt. Interact., 2022)

Design and Evaluation of Cross-Domain Recommender Systems. - Maurizio Ferrari Dacrema; Iván Cantador; Ignacio Fernández-Tobías; Shlomo Berkovsky; Paolo Cremonesi (Recommender Systems Handbook, 2022)

Session-Based Recommender Systems. - Dietmar Jannach; Massimo Quadrana; Paolo Cremonesi (Recommender Systems Handbook, 2022)

An Evaluation of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (Zenodo, 2022)

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Paolo Cremonesi (Zenodo, 2022)

qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems. - Andrea Pasin; Maurizio Ferrari Dacrema; Paolo Cremonesi; Nicola Ferro 001 (CLEF, 2023)

Impressions in Recommender Systems: Present and Future. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (IIR, 2023)

Towards Improved QUBO Formulations of IR Tasks for Quantum Annealers. - Riccardo Pellini; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2023)

Characterizing Impression-Aware Recommender Systems. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (LERI@RecSys, 2023)

Incorporating Impressions to Graph-Based Recommenders. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (LERI@RecSys, 2023)

Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances. - Gloria Turati; Maurizio Ferrari Dacrema; Paolo Cremonesi (QCE, 2023)

Workshop on Learning and Evaluating Recommendations with Impressions (LERI). - Maurizio Ferrari Dacrema; Pablo Castells; Justin Basilico; Paolo Cremonesi (RecSys, 2023)

Quantum Computing Research Lines in the Italian Center for Supercomputing. - Alessandro Barenghi; Paolo Cremonesi; Gerardo Pelosi (SAMOS, 2023)

Impression-Aware Recommender Systems. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi (CoRR, 2023)

A Survey on Recent Approaches to Question Difficulty Estimation from Text. - Luca Benedetto; Paolo Cremonesi; Andrew Caines; Paula Buttery; Andrea Cappelli; Andrea Giussani; Roberto Turrin (ACM Comput. Surv., 2023)

Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023. - Maurizio Ferrari Dacrema; Pablo Castells; Justin Basilico; Paolo Cremonesi (SIGIR Forum, 2023)

Reinforcement Learning for Variational Quantum Circuit Design. - Simone Foderà; Gloria Turati; Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (AIQxQIA@AI*IA, 2024)

An Application of Reinforcement Learning for Minor Embedding in Quantum Annealing (Short Paper). - Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (AIQxQIA@AI*IA, 2024)

QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. - Andrea Pasin; Maurizio Ferrari Dacrema; Paolo Cremonesi; Nicola Ferro 001 (CLEF (Working Notes), 2024)

Overview of QuantumCLEF 2024: The Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. - Andrea Pasin; Maurizio Ferrari Dacrema; Paolo Cremonesi; Nicola Ferro 001 (CLEF (2), 2024)

Quantum Computing for Information Retrieval and Recommender Systems. - Maurizio Ferrari Dacrema; Andrea Pasin; Paolo Cremonesi; Nicola Ferro 001 (ECIR (5), 2024)

QuantumCLEF - Quantum Computing at CLEF. - Andrea Pasin; Maurizio Ferrari Dacrema; Paolo Cremonesi; Nicola Ferro 001 (ECIR (5), 2024)

Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems. - Nicola Cecere; Andrea Pisani; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2024)

Pre-Trained LLM Embeddings of Product Reviews for Recommendation. - Andrea Pisani; Nicola Cecere; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2024)

Adaptive Learning for Quantum Linear Regression. - Costantino Carugno; Maurizio Ferrari Dacrema; Paolo Cremonesi (QCE, 2024)

Using and Evaluating Quantum Computing for Information Retrieval and Recommender Systems. - Maurizio Ferrari Dacrema; Andrea Pasin; Paolo Cremonesi; Nicola Ferro 001 (SIGIR, 2024)

Reinforcement Learning for Variational Quantum Circuits Design. - Simone Foderà; Gloria Turati; Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2024)

QuantumCLEF 2025 - The Second Edition of the Quantum Computing Lab at CLEF. - Andrea Pasin; Maurizio Ferrari Dacrema; Paolo Cremonesi; Washington Cunha; Marcos André Gonçalves; Nicola Ferro 001 (ECIR (5), 2025)

Automated Design of Structured Variational Quantum Circuits with Reinforcement Learning. - Gloria Turati; Simone Foderà; Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2025)

Minor Embedding for Quantum Annealing with Reinforcement Learning. - Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2025)

Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms. - Filippo Brozzi; Gloria Turati; Maurizio Ferrari Dacrema; Filippo Caruso; Paolo Cremonesi (CoRR, 2025)