Συνεργατικές προσεγγίσεις μάθησης σε συστήματα συστάσεων
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Abstract
This work is a product of a postgraduate dissertation conducted within the framework of the "Postgraduate Program in Information Systems & Services" in the direction of Advanced Information Systems of the University of Piraeus. Its purpose is to study the different federated learning techniques in recommender systems, to implement one of them and to conduct experiments.
The first chapter introduces the federated learning approach. Then, there is an extensive reference to its categories and its architecture.The next chapter includes the definition of recommendation systems, the reasons for their use, the recommendation process and its forms. Also, the different types of recommendation systems are analyzed. In the third chapter, reference is made to the basic idea of similar relevant publications on the collaborative learning approach in referral systems and a summary table is presented. Finally, the fourth chapter describes the implementation of the federated learning application and presents the experimental results.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
72Language
GreekCollections
Except where otherwise noted, this item's license is described as
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές