Akademik Veri Yönetim Sistemi
International Journal of Computing Academic Research, cilt.7, sa.2, ss.29-37, 2018 (Hakemli Dergi)
Recommendation system is an assistive model for users with the intent of suggesting a set of new items to view (e.g., movie, news, research articles etc.) or buy (e.g., book, product etc.). Nowadays it has altered the way of seeking out the things of our interest by using information filtering approach. A movie recommendation system based on collaborative filtering handles the information provided by users, analyzes them, and suggests the best suited film to users according to their processed information. In the proposed system, a content-based movie recommendation is automatically made using a graph based approach according to past film preferences of users between 1995 and 2016; using demographic information of users, the recommendation list is updated. A combination of outputs of these two techniques reveals more precise recommendations concerning movies. The MovieLens dataset was used to explore the proposed hybrid system.