Ηλεκτρονικό κατάστημα, με εξατομικευμένες υπηρεσίες και διαφημίσεις
E-shop with personalized features and advertising
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Keywords
Ηλεκτρονικό εμπόριο ; Ανάπτυξη web ; Αλγόριθμοι διαφημίσεων ; Προσωποποίηση χρηστών ; React ; Next.js ; PrismaORM ; Hybrid personalization ; Explainable personalization ; Session-based recommendeation models ; Deep learning techniques ; Collaborative filtering ; Content-based filtering ; Natural Language Processing (NLP) ; sequential recommendation ; Time-aware mechanisms ; Attention mechanismsAbstract
This thesis presents the development of EcommerceWithAds, an advanced e-commerce
platform that intelligently integrates advertising algorithms with traditional e-commerce
functionality.
The project demonstrates the practical application of modern web technologies, user behavior
analytics, and machine learning concepts in creating a dynamic digital marketplace.
The research approach focused on addressing real-world e-commerce challenges through
iterative development, comprehensive testing, and systematic problem-solving methodologies.
The platform successfully implements advanced features including personalized advertising,
dynamic pricing algorithms, and intelligent recommendation systems.
Department
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
72Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα