Eyad Kannout

According to our database, Eyad Kannout authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Forecasting Stock Trends with Feedforward Neural Networks.

Marcin Traskowski, Eyad Kannout

Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024

2023

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

2022

Considering various aspects of models' quality in the ML pipeline - application in the logistics sector.

Eyad Kannout, Michal Grodzki, Marek Grzegorowski

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems.

Eyad Kannout, Michal Grodzki, Marek Grzegorowski

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Speeding Up Recommender Systems Using Association Rules.

Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Toward Recommender Systems Scalability and Efficacy.

Eyad Kannout, Marek Grzegorowski, Hung Son Nguyen

Proceedings of the Concurrency, Specification and Programming, 2021

2020

Context Clustering-based Recommender Systems.

Eyad Kannout

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020