EN
TR
New prediction methods for collaborative filtering
Abstract
Companies, in particular e-commerce companies, aims to increase customer satisfaction, hence in turn increase their profits, using recommender systems. Recommender Systems are widely used nowadays and they provide strategic advantages to the companies that use them. These systems consist of different stages. In the first stage, the similarities between the active user and other users are computed using the user-product ratings matrix. Then, the neighbors of the active user are found from these similarities. In prediction calculation stage, the similarities computed at the first stage are used to generate the weight vector of the closer neighbors. Neighbors affect the prediction value by the corresponding value of the weight vector. In this study, we developed two new methods for the prediction calculation stage which is the last stage of collaborative filtering. The performance of these methods are measured with evaluation metrics used in the literature and compared with other studies in this field.
Keywords
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
-
Yayımlanma Tarihi
1 Mayıs 2016
Gönderilme Tarihi
2 Mayıs 2016
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2016 Cilt: 22 Sayı: 2
APA
Bulut, H., & Milli, M. (2016). New prediction methods for collaborative filtering. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 22(2), 123-128. https://izlik.org/JA55FA87EM
AMA
1.Bulut H, Milli M. New prediction methods for collaborative filtering. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2016;22(2):123-128. https://izlik.org/JA55FA87EM
Chicago
Bulut, Hasan, ve Musa Milli. 2016. “New prediction methods for collaborative filtering”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 22 (2): 123-28. https://izlik.org/JA55FA87EM.
EndNote
Bulut H, Milli M (01 Mayıs 2016) New prediction methods for collaborative filtering. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 22 2 123–128.
IEEE
[1]H. Bulut ve M. Milli, “New prediction methods for collaborative filtering”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 22, sy 2, ss. 123–128, May. 2016, [çevrimiçi]. Erişim adresi: https://izlik.org/JA55FA87EM
ISNAD
Bulut, Hasan - Milli, Musa. “New prediction methods for collaborative filtering”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 22/2 (01 Mayıs 2016): 123-128. https://izlik.org/JA55FA87EM.
JAMA
1.Bulut H, Milli M. New prediction methods for collaborative filtering. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2016;22:123–128.
MLA
Bulut, Hasan, ve Musa Milli. “New prediction methods for collaborative filtering”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 22, sy 2, Mayıs 2016, ss. 123-8, https://izlik.org/JA55FA87EM.
Vancouver
1.Hasan Bulut, Musa Milli. New prediction methods for collaborative filtering. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi [Internet]. 01 Mayıs 2016;22(2):123-8. Erişim adresi: https://izlik.org/JA55FA87EM
