Marek Grzegorowski

Clustering-based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems

Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system

Selected aspects of interactive feature extraction

Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction

Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium

Toward Recommender Systems Scalability and Efficacy

Survival-based feature extraction-application in supply management for dispersed vending machines

Speeding up recommender systems using association rules