Προσαρμοστικό σύστημα δημιουργίας προτάσεων σε ηλεκτρονικό κατάστημα
Κοντοδιός, Ηρακλής Ε.
SubjectΗλεκτρονικό εμπόριο -- Υπολογιστών προγράμματα ; Εξόρυξη δεδομένων ; Διαδίκτυο (Internet) -- Προγράμματα ; Adaptive computing systems
The last years it has been observed that e- commerce is gaining ground worldwide. Much more companies’ take advantage the fact that a large amount of population has access to network and build e-shops for projection and sale their products. Its raising day by day the amount of information people accepts. For this reason it is hard to see the difference between the useful and useless information. So they are discouraged to use that kind of commerce. For this reason the last years much more researchers have turned their attention creating systems that help users to choose recommender systems. The need for adaptive software which can be formed according to user’s demands is imperative. The recommender systems are used increasingly from electronic stores, which their purpose is to help consumers find more valuable and suitable products for them. The systems are learning from the consumers habits, either these are purchases, ratings or visits and they suggest them products which there will be much more useful. The purpose of this master thesis is the creation of an adaptive e-shop using a recommender system to propose products in order to raise consumers’ interest.