Evolutionary neural networks for improving the prediction performance of
recommender systems

Seref, Berna; Bostanci, Gazi Erkan; Guzel, Mehmet

doi:10.3906/elk-2004-138

Evolutionary neural networks for improving the prediction performance of recommender systems

Berna ŞEREF, (Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Ankara, Türkiye)

Gazi Erkan Bostanci, (Mühendislik Fakültesi Bilgisayar Mühendisliği Bölümü, Ankara Üniversitesi, Ankara, Türkiye)

Mehmet Serdar GÜZEL (Mühendislik Fakültesi Bilgisayar Mühendisliği Bölümü, Ankara Üniversitesi, Ankara, Türkiye)

Turkish Journal of Electrical Engineering and Computer Sciences

3 0

Yıl: 2021 Cilt: 29 Sayı: 1 Sayfa Aralığı: 62 - 77 Metin Dili: İngilizce DOI: 10.3906/elk-2004-138 İndeks Tarihi: 04-06-2022

Evolutionary neural networks for improving the prediction performance of recommender systems

Öz:

Recommender systems provide recommendations to users using background data such as ratings of users about items and features of items. These systems are used in several areas such as e-commerce, news websites, and article websites. By using recommender systems, customers are provided with relevant data as soon as possible and are able to make good decisions. There are more studies about recommender systems and improving their performance. In this study, prediction performances of neural networks are evaluated and their performances are improved using genetic algorithms. Performances obtained in this study are compared with those of other studies. After that, superiority of this study is shown. While multilayer perceptron, generalized feed-forward network, and coactive neuro fuzzy inference systems were used as neural network algorithms, Movielens 100K and Movielens 1M datasets, which are widely preferred in recommender system studies, were used to train and test the system in the present study. Mean square error and root mean square error were employed as performance metrics. As a result, it was observed that genetic algorithm improves performance of neural networks, and prediction performance of hybrid combination of neural networks and genetic algorithm is superior to prediction performance of recommender systems available in the literature.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	Seref B, Bostanci G, Guzel M (2021). Evolutionary neural networks for improving the prediction performance of recommender systems. , 62 - 77. 10.3906/elk-2004-138
Chicago	Seref Berna,Bostanci Gazi Erkan,Guzel Mehmet Evolutionary neural networks for improving the prediction performance of recommender systems. (2021): 62 - 77. 10.3906/elk-2004-138
MLA	Seref Berna,Bostanci Gazi Erkan,Guzel Mehmet Evolutionary neural networks for improving the prediction performance of recommender systems. , 2021, ss.62 - 77. 10.3906/elk-2004-138
AMA	Seref B,Bostanci G,Guzel M Evolutionary neural networks for improving the prediction performance of recommender systems. . 2021; 62 - 77. 10.3906/elk-2004-138
Vancouver	Seref B,Bostanci G,Guzel M Evolutionary neural networks for improving the prediction performance of recommender systems. . 2021; 62 - 77. 10.3906/elk-2004-138
IEEE	Seref B,Bostanci G,Guzel M "Evolutionary neural networks for improving the prediction performance of recommender systems." , ss.62 - 77, 2021. 10.3906/elk-2004-138
ISNAD	Seref, Berna vd. "Evolutionary neural networks for improving the prediction performance of recommender systems". (2021), 62-77. https://doi.org/10.3906/elk-2004-138

APA	Seref B, Bostanci G, Guzel M (2021). Evolutionary neural networks for improving the prediction performance of recommender systems. Turkish Journal of Electrical Engineering and Computer Sciences, 29(1), 62 - 77. 10.3906/elk-2004-138
Chicago	Seref Berna,Bostanci Gazi Erkan,Guzel Mehmet Evolutionary neural networks for improving the prediction performance of recommender systems. Turkish Journal of Electrical Engineering and Computer Sciences 29, no.1 (2021): 62 - 77. 10.3906/elk-2004-138
MLA	Seref Berna,Bostanci Gazi Erkan,Guzel Mehmet Evolutionary neural networks for improving the prediction performance of recommender systems. Turkish Journal of Electrical Engineering and Computer Sciences, vol.29, no.1, 2021, ss.62 - 77. 10.3906/elk-2004-138
AMA	Seref B,Bostanci G,Guzel M Evolutionary neural networks for improving the prediction performance of recommender systems. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(1): 62 - 77. 10.3906/elk-2004-138
Vancouver	Seref B,Bostanci G,Guzel M Evolutionary neural networks for improving the prediction performance of recommender systems. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(1): 62 - 77. 10.3906/elk-2004-138
IEEE	Seref B,Bostanci G,Guzel M "Evolutionary neural networks for improving the prediction performance of recommender systems." Turkish Journal of Electrical Engineering and Computer Sciences, 29, ss.62 - 77, 2021. 10.3906/elk-2004-138
ISNAD	Seref, Berna vd. "Evolutionary neural networks for improving the prediction performance of recommender systems". Turkish Journal of Electrical Engineering and Computer Sciences 29/1 (2021), 62-77. https://doi.org/10.3906/elk-2004-138