Eyad Kannout

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Recommender Systems

Top Venues

Comput. Sci. Inf. Syst.

CS&P (Revised Selected Papers)

Publications

Eyad Kannout, Marek Grzegorowski, Michal Grodzki, Hung Son Nguyen
Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems. IEEE Access 12 (2024)
Eyad Kannout, Michal Grodzki, Marek Grzegorowski
Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system. Comput. Sci. Inf. Syst. 20 (4) (2023)
Eyad Kannout, Michal Grodzki, Marek Grzegorowski
Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems. FedCSIS (2022)
Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
Speeding Up Recommender Systems Using Association Rules. ACIIDS (2) (2022)
Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
Speeding Up Recommender Systems Using Association Rules. CoRR (2022)
Eyad Kannout, Michal Grodzki, Marek Grzegorowski
Considering various aspects of models' quality in the ML pipeline - application in the logistics sector. FedCSIS (2022)
Eyad Kannout, Marek Grzegorowski, Hung Son Nguyen
Toward Recommender Systems Scalability and Efficacy. CS&P (Revised Selected Papers) (2021)
Eyad Kannout
Context Clustering-based Recommender Systems. FedCSIS (2020)