Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems. - Eyad Kannout; Michal Grodzki; Marek Grzegorowski (FedCSIS, 2022)

Considering various aspects of models' quality in the ML pipeline - application in the logistics sector. - Eyad Kannout; Michal Grodzki; Marek Grzegorowski (FedCSIS, 2022)

Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system. - Eyad Kannout; Michal Grodzki; Marek Grzegorowski (Comput. Sci. Inf. Syst., 2023)

Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems. - Eyad Kannout; Marek Grzegorowski; Michal Grodzki; Hung Son Nguyen (IEEE Access, 2024)