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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorCremonesi Paolo
QualificationAssociate professor
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorING-INF/05 - Information Processing Systems
Curriculum VitaeDownload CV (511.15Kb - 05/09/2022)
OrcIDhttps://orcid.org/0000-0002-1253-8081

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Professor's office hoursProfessor's office hours is not available yet
E-mailpaolo.cremonesi@polimi.it
Professor's personal websitehttp://home.dei.polimi.it/cremones/

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Evaluating Recommendations in a User Interface With Multiple Carousels (Show >>)
Poster
On the Impact of Data Sampling on Hyper-Parameter Optimisation of Recommendation Algorithms (Show >>)
Contributions on scientific books
Design and Evaluation of Cross-Domain Recommender Systems (Show >>)
Session-Based Recommender Systems (Show >>)
Conference proceedings
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering (Show >>)
Feature Selection via Quantum Annealers for Ranking and Classification Tasks (Show >>)
GAN-based Matrix Factorization for Recommender Systems (Show >>)
Recommending Relevant Papers to Conference Participants: a Deep Learning Driven Content-based Approach (Show >>)
Replication of Recommender Systems with Impressions (Show >>)
Replication of collaborative Filtering Generative Adversarial Networks on Recommender Systems (Show >>)
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers (Show >>)
Towards Recommender Systems with Community Detection and Quantum Computing (Show >>)
Towards the Evaluation of Recommender Systems with Impressions (Show >>)
Virtual Network Function Embedding with Quantum Annealing (Show >>)
Journal Articles
A survey on recent approaches to question difficulty estimation from text (Show >>)
Analyzing and Improving Stability of Matrix Factorization for Recommender Systems (Show >>)
Evaluating the Job Shop Scheduling Problem on a D-Wave Quantum Annealer (Show >>)
From Data Analysis to Intent-based Recommendation: an Industrial Case Study in the Video Domain (Show >>)
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels (Show >>)
Preface to the Special Issue on Dynamic Recommender Systems and User Models (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels (Show >>)
Eigenvalue Perturbation For Item-Based Recommender Systems (Show >>)
Eigenvalue Perturbation for Item-based Recommender Systems (Show >>)
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting (Show >>)
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels (Show >>)
On the Application of Transformers for Estimating the Difficulty of Multiple-Choice Questions from Text (Show >>)
On the Instability of Embeddings for Recommender Systems: the Case of Matrix Factorization (Show >>)
Optimizing the Selection of Recommendation Carousels with Quantum Computing (Show >>)
Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text (Show >>)
Journal Articles
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research (Show >>)
CGPTUNER: A Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions (Show >>)
Feature selection for Recommender Systems with Quantum Computing (Show >>)
NFC: a Deep and Hybrid Item-based Model for Item Cold-start Recommendation (Show >>)
Progress in Recommender Systems Research: Crisis? What Crisis? (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Outfit Completion and Clothes Recommendation (Show >>)
Conference proceedings
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations (Show >>)
ContentWise Impressions: An Industrial Dataset with Impressions Included (Show >>)
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems (Show >>)
Introducing a Framework to Assess Newly Created Questions with Natural Language Processing (Show >>)
Methodological Issues in Recommender Systems Research (Extended Abstract) (Show >>)
R2DE: A NLP Approach to Estimating IRT Parameters of Newly Generated Questions (Show >>)
Journal Articles
Recommender Systems Leveraging Multimedia Content (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Virtual Teaching Assistant for Personalized Learning (Show >>)
Are we Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches (Show >>)
Estimating confidence of individual user predictions in item-based recommender systems (Show >>)
Rexy, a configurable application for building virtual teaching assistants (Show >>)
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features (Show >>)
Journal Articles
Movie genome: alleviating new item cold start in movie recommendation (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Poster
A Novel Graph-based Model for Hybrid Recommendations in Cold-start Scenarios (Show >>)
Eigenvalue Analogy for Confidence Estimation in Item-Based Recommender Systems (Show >>)
Contributions on scientific books
User Preference Sources: Explicit vs. Implicit Feedback (Show >>)
Conference proceedings
Audio-visual Encoding of Multimedia Content for Enhancing Movie Recommendations (Show >>)
Content-Based Multimedia Recommendation Systems: Definition and Application Domains (Show >>)
Content-Based Multimedia Recommendation Systems: Definition and Application Domains (Show >>)
Deriving Item Features Relevance from Collaborative Domain Knowledge (Show >>)
MMTF-14K: A Multifaceted Movie Trailer Feature Dataset for Recommendation and Retrieval (Show >>)
Tutorial: Sequence-aware Recommendation (Show >>)
Tutorial: Sequence-aware Recommender Systems (Show >>)
Journal Articles
Sequence-aware Recommender Systems (Show >>)
Using Visual Features Based on MPEG-7 and Deep Learning for Movie Recommendation (Show >>)
manifesti v. 3.5.2 / 3.5.2
Area Servizi ICT
05/12/2022