Research Information System
Thesis Type: Postgraduate
Institution Of The Thesis: Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2016
Student: CELALETTİN AYGÜN
Supervisor: OKTAY YILDIZ
Open Archive Collection: AVESIS Open Access Collection
Abstract:The accurate and quick access of the internet users to the contents they need has become a critical issue nowadays. For this purpose, recommendation systems are widely used in music, books, films, touristic travel or planning, e-commerce, education, and many more areas. The recommender systems approach is based on the ground of predicting the users' choices by interpreting their history of choices, likings and reviews. In this study, a novel recommender system that produces highly satisfying results is proposed. The system offers new books that the users will be interested in by considering the books they have read and their reviews. In this study, the recommender system is implemented by using genetic algorithm and it is indicated that the developed system can create efficient solutions for the common problems of the recommender systems in the literature.