Sfoglia per Autore
Design and Evaluation of Cross-Domain Recommender Systems
2022-01-01 Dacrema, Maurizio Ferrari; Cantador, Iván; Fernández-Tobías, Ignacio; Berkovsky, Shlomo; Cremonesi, Paolo
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels
2022-01-01 Ferrari Dacrema, Maurizio; Felicioni, Nicolò; Cremonesi, Paolo
Analyzing and improving stability of matrix factorization for recommender systems
2022-01-01 D'Amico, E.; Gabbolini, G.; Bernardis, C.; Cremonesi, P.
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
2022-01-01 Pérez Maurera, Fernando Benjamín; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
From Data Analysis to Intent-based Recommendation: an Industrial Case Study in the Video Domain
2022-01-01 Bernardis, Cesare; FERRARI DACREMA, Maurizio; PEREZ MAURERA, FERNANDO BENJAMIN; Quadrana, Massimo; Scriminaci, Mario; Cremonesi, Paolo
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers
2022-01-01 Ferrari Dacrema, M.; Moroni, F.; Nembrini, R.; Ferro, N.; Faggioli, G.; Cremonesi, P.
Evaluating the job shop scheduling problem on a D-wave quantum annealer
2022-01-01 Carugno, Costantino; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
2021-01-01 Felicioni, N.; Ferrari Dacrema, M.; Cremonesi, P.
Feature selection for recommender systems with quantum computing
2021-01-01 Nembrini, R.; Ferrari Dacrema, M.; Cremonesi, P.
Progress in Recommender Systems Research: Crisis? What Crisis?
2021-01-01 Cremonesi, Paolo; Jannach, Dietmar
On the instability of embeddings for recommender systems: the case of matrix factorization
2021-01-01 Gabbolini, G.; D'Amico, E.; Bernardis, C.; Cremonesi, P.
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
2021-01-01 Dacrema, Maurizio Ferrari; Boglio, Simone; Cremonesi, Paolo; Jannach, Dietmar
On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text
2021-01-01 Benedetto, L.; Cremonesi, P.; Aradelli, G.; Cappelli, A.; Giussani, A.; Turrin, R.
Eigenvalue perturbation for item-based recommender systems
2021-01-01 Bernardis, C.; Cremonesi, P.
NFC: a deep and hybrid item-based model for item cold-start recommendation
2021-01-01 Bernardis, C.; Cremonesi, P.
Cgptuner: A contextual gaussian process bandit approach for the automatic tuning of it configurations under varying workload conditions
2021-01-01 Cereda, S.; Valladares, S; Cremonesi, P; Doni, S
Measuring the ranking quality of recommendations in a two-dimensional carousel setting
2021-01-01 Felicioni, N.; Ferrari Dacrema, M.; Perez Maurera, F. B.; Cremonesi, P.
Optimizing the selection of recommendation carousels with quantum computing
2021-01-01 Ferrari Dacrema, M.; Felicioni, N.; Cremonesi, P.
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
2021-01-01 Felicioni, N.; Ferrari Dacrema, M.; Cremonesi, P.
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations
2020-01-01 Cereda, S.; Palermo, G.; Cremonesi, P.; Doni, S.
Introducing a framework to assess newly created questions with natural language processing
2020-01-01 Benedetto, L.; Cappelli, A.; Turrin, R.; Cremonesi, P.
Outfit completion and clothes recommendation
2020-01-01 Prato, G.; Sallemi, F.; Cremonesi, P.; Scriminaci, M.; Gudmundsson, S.; Palumbo, S.
R2DE: A NLP approach to estimating IRT parameters of newly generated questions
2020-01-01 Benedetto, L.; Cappelli, A.; Turrin, R.; Cremonesi, P.
Recommender Systems Leveraging Multimedia Content
2020-01-01 Deldjoo, Y.; Schedl, M.; Cremonesi, P.; Pasi, G.
Methodological Issues in Recommender Systems Research (Extended Abstract)
2020-01-01 Ferrari Dacrema, M.; Cremonesi, P.; Jannach, D.
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
2020-01-01 Ferrari Dacrema, M.; Parroni, F.; Cremonesi, P.; Jannach, D.
ContentWise Impressions: An Industrial Dataset with Impressions Included
2020-01-01 Perez Maurera, F. B.; Ferrari Dacrema, M.; Saule, L.; Scriminaci, M.; Cremonesi, P.
Estimating confidence of individual user predictions in item-based recommender systems
2019-01-01 Bernardis, C.; Ferrari Dacrema, M.; Cremonesi, P.
Rexy, a configurable application for building virtual teaching assistants
2019-01-01 Benedetto, L.; Cremonesi, P.
A virtual teaching assistant for personalized learning
2019-01-01 Benedetto, L.; Cremonesi, P.; Parenti, M.
Towards evaluating user profiling methods based on explicit ratings on item features
2019-01-01 Costanzo, L. L.; Deldjoo, Y.; Dacrema, M. F.; Schedl, M.; Cremonesi, P.
Movie genome: alleviating new item cold start in movie recommendation
2019-01-01 Deldjoo, Yashar; FERRARI DACREMA, Maurizio; Constantin, Mihai Gabriel; Eghbal-zadeh, Hamid; Cereda, Stefano; Schedl, Markus; Ionescu, Bogdan; Cremonesi, Paolo
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
2019-01-01 Dacrema, Maurizio Ferrari; Cremonesi, Paolo; Jannach, Dietmar
Audio-visual encoding of multimedia content for enhancing movie recommendations
2018-01-01 Deldjoo, Yashar; Ionescu, Bogdan; Constantin, Mihai Gabriel; Schedl, Markus; Eghbal-Zadeh, Hamid; Cremonesi, Paolo
Tutorial: Sequence-aware Recommendation
2018-01-01 Quadrana, Massimo; Cremonesi, Paolo
Using visual features based on MPEG-7 and deep learning for movie recommendation
2018-01-01 Deldjoo, Yashar; Elahi, Mehdi; Quadrana, Massimo; Cremonesi, Paolo
Tutorial: Sequence-aware recommender systems
2018-01-01 Quadrana, Massimo; Cremonesi, Paolo; Jannach, Dietmar
A novel graph-based model for hybrid recommendations in cold-start scenarios
2018-01-01 Bernardis, Cesare; FERRARI DACREMA, Maurizio; Cremonesi, Paolo
Deriving item features relevance from collaborative domain knowledge
2018-01-01 Ferrari Dacrema, M.; Gasparin, A.; Cremonesi, P.
Eigenvalue analogy for confidence estimation in item-based recommender systems
2018-01-01 Ferrari Dacrema, M.; Cremonesi, P.
User Preference Sources: Explicit vs. Implicit Feedback
2018-01-01 Cremonesi, Paolo; Garzotto, Franca; Ferrari Dacrema, Maurizio
MMTF-14K: A multifaceted movie trailer feature dataset for recommendation and retrieval
2018-01-01 Deldjoo, Yashar; Constantin, Mihai Gabriel; Ionescu, Bogdan; Schedl, Markus; Cremonesi, Paolo
Content-Based Multimedia Recommendation Systems: Definition and Application Domains
2018-01-01 Deldjoo, Y.; Schedl, M.; Cremonesi, P.; Pasi, G.; Cremonesi, Paolo
Content-based multimedia recommendation systems: Definition and application domains
2018-01-01 Deldjoo, Yashar; Schedl, Markus; Cremonesi, Paolo; Pasi, Gabriella
Sequence-aware recommender systems
2018-01-01 Quadrana, Massimo; Cremonesi, Paolo; Jannach, Dietmar
Toward a new fashion concepts design tool: The vMannequin framework
2017-01-01 Cremonesi, Paolo; Garzotto, Franca; Gribaudo, Marco; Piazzolla, Pietro; Iacono, Mauro
Deriving Item Features Relevance from Past User Interactions
2017-01-01 Cella, Leonardo; Cereda, Stefano; Quadrana, Massimo; Cremonesi, Paolo
Estimate features relevance for groups of users
2017-01-01 Cereda, Stefano; Cella, Leonardo; Cremonesi, Paolo
The importance of song context in music playlists: Enabling recommendations in the long tail
2017-01-01 Vall, Andreu; Schedl, Markus; Widmer, Gerhard; Quadrana, Massimo; Cremonesi, Paolo
Kernalized collaborative contextual bandits
2017-01-01 Cella, Leonardo; Gaudel, Romaric; Cremonesi, Paolo
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