Sfoglia per Autore
A Novel Graph-based Model for Hybrid Recommendations in Cold-start Scenarios
2018-01-01 Bernardis, Cesare; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Eigenvalue Analogy for Confidence Estimation in Item-Based Recommender Systems
2018-01-01 Ferrari Dacrema, Maurizio; Cremonesi, Paolo
Deriving Item Features Relevance from Collaborative Domain Knowledge
2018-01-01 Ferrari Dacrema, Maurizio; Gasparin, Alberto; Cremonesi, Paolo
User Preference Sources: Explicit vs. Implicit Feedback
2018-01-01 Cremonesi, Paolo; Garzotto, Franca; Ferrari Dacrema, Maurizio
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario
2018-01-01 Antenucci, Sebastiano; Boglio, Simone; Chioso, Emanuele; Dervishaj, Ervin; Kang, Shuwen; Scarlatti, Tommaso; Ferrari Dacrema, Maurizio.
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
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
2019-01-01 Costanzo, Luca Luciano; Deldjoo, Yashar; Ferrari Dacrema, Maurizio; Schedl, Markus; Cremonesi, Paolo
Estimating confidence of individual user predictions in item-based recommender systems
2019-01-01 Bernardis, C.; Ferrari Dacrema, M.; Cremonesi, P.
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank
2019-01-01 D'Amico, E.; Parroni, F.; Gabbolini, G.; Piccinini, F.; Montesi, D.; Rossettini, A.; Moreschini, M.; Introito, A. R.; Bernardis, C.; Ferrari Dacrema, M.
Aggregating models for anomaly detection in space systems: Results from the FCTMAS study
2019-01-01 Amigoni, Francesco; Ferrari Dacrema, Maurizio; Donati, Alessandro; Laroque, Christian; Lavagna, Michèle; Riva, Alessandro
Are we Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
2019-01-01 Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar
Methodological Issues in Recommender Systems Research (Extended Abstract)
2020-01-01 Ferrari Dacrema, Maurizio; Cremonesi, Paolo; Jannach, Dietmar
Multi-Objective Blended Ensemble for Highly Imbalanced Sequence Aware Tweet Engagement Prediction
2020-01-01 Felicioni, N.; Donati, A.; Conterio, L.; Bartoccioni, L.; Hu, DAVIDE YI XIAN; Bernardis, C.; Ferrari Dacrema, M.
ContentWise Impressions: An Industrial Dataset with Impressions Included
2020-01-01 Perez Maurera, Fernando B.; Ferrari Dacrema, Maurizio; Saule, Lorenzo; Scriminaci, Mario; Cremonesi, Paolo
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
2020-01-01 Ferrari Dacrema, Maurizio; Parroni, Federico; Cremonesi, Paolo; Jannach, Dietmar
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment
2021-01-01 Carminati, Luca; Lodigiani, Giacomo; Maldini, Pietro; Meta, Samuele; Metaj, Stiven; Pisa, Arcangelo; Sanvito, Alessandro; Surricchio, Mattia; Pérez Maurera, Fernando Benjamín; Bernardis, Cesare; Ferrari Dacrema, Maurizio
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting
2021-01-01 Felicioni, Nicolò; Ferrari Dacrema, Maurizio; Perez Maurera, Fernando B.; Cremonesi, Paolo
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)
2021-01-01 Ferrari Dacrema, Maurizio
Feature selection for Recommender Systems with Quantum Computing
2021-01-01 Nembrini, Riccardo; Ferrari Dacrema, Maurizio; Cremonesi, Paolo
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.
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