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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 Vitae--
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 2020
No product yet registered in the year 2020


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
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 >>)
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
Abstract in Atti di convegno
Content-Based Multimedia Recommendation Systems: Definition and Application Domains (Show >>)
Tutorial: Sequence-aware Recommendation (Show >>)
Tutorial: Sequence-aware recommender systems (Show >>)
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 >>)
Deriving item features relevance from collaborative domain knowledge (Show >>)
MMTF-14K: A multifaceted movie trailer feature dataset for recommendation and retrieval (Show >>)
Journal Articles
Sequence-aware recommender systems (Show >>)
Using visual features based on MPEG-7 and deep learning for movie recommendation (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Prefazione/Postfazione
RecSys 2017 chairs' welcome (Show >>)
Abstract in Atti di convegno
Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System (Show >>)
Contributions on scientific books
Toward a new fashion concepts design tool: The vMannequin framework (Show >>)
Conference proceedings
Deriving Item Features Relevance from Past User Interactions (Show >>)
Estimate features relevance for groups of users (Show >>)
Exploring the Semantic Gap for Movie Recommendations (Show >>)
How to combine visual features with tags to improve movie recommendation accuracy? (Show >>)
Kernalized collaborative contextual bandits (Show >>)
Personalizing session-based recommendations with hierarchical recurrent neural networks (Show >>)
The effect of different video summarization models on the quality of video recommendation based on low-level visual features (Show >>)
The importance of song context in music playlists: Enabling recommendations in the long tail (Show >>)
Journal Articles
User interface patterns in recommendation-empowered content intensive multimedia applications (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Recommending Movies Based on Mise-en-Scene Design (Show >>)
Patents
Enhanced content based multimedia recommendation method (Show >>)
Conference proceedings
Algorithms Aside: Recommendation as the lens of life (Show >>)
Bridging physical space and digital landscape to drive retail innovation (Show >>)
Dynamic and Interactive Lighting for Fashion Store Windows (Show >>)
Explicit elimination of similarity blockers for session-based recommendation (Show >>)
Multi-stack ensemble for job recommendation (Show >>)
Smart lighting for fashion store windows (Show >>)
The contextual turn: From context-aware to context-driven recommender systems (Show >>)
Using visual features and latent factors for movie recommendation (Show >>)
vMannequin: A fashion store concept design tool (Show >>)
Journal Articles
Compact Markov-modulated models for multiclass trace fitting (Show >>)
Content-Based Video Recommendation System Based on Stylistic Visual Features (Show >>)
Introduction to the special issue on recommender system benchmarking (Show >>)
manifesti v. 3.3.7 / 3.3.7
Area Servizi ICT
08/07/2020