Gelisim News

The article of the Researcher from IGU, creating a content recommendation system for Netflix has been published

Article titled "A Content Suggestion System Application on Netflix data with TF-IDF algorithm and Cosine similarity " written by Ali Çetinkaya, who is a member of Application and Research Center team at Istanbul Gelisim University Technology Transfer Office, was published in the Online Journal of Information Technologies.

The study carried out on Netflix user data, is aiming to develop a content recommendation system application that can recommend new contents with high accuracy according to the content searched, watched or liked based on the personal preferences of the users. Özlem Gelemet and Hakan Aydın are working with Çetinkaya in the research.

DATA SET CONTAINING 8807 DATA and NAMED “NETFLIX MOVIE AND TITLES” IS USED

A success ratio of 80-99% was achieved in the experiment that are carried out thanks to the methods used in the study, which revealed through experiments on more than 35 films and TV series published in Turkish and in other languages.  Ali Çetinkaya who made evaluations on the subject, stated that they plan to enhance further, with up-to-date data, the number of samples in the data set which have been used and thus to develop the application further. In addition to the existing features, it is planned to add user comments and ratings to the works in the upcoming works of the application.

You can access by clicking here, the article on  a Content Suggestion System Application on Netflix data with TF-IDF algorithm and Cosine similarity.