Makine Öğrenimi ile Uzun Kuyruk Ürünler için İyileştirilmiş Sonraki Öğe Önerisi

Ahmet Zencirli; Harun Çetin; Nedim Tuğ; Engin Seven; Tolga Ensari

Araştırma Makalesi

Improved Next Item Recommendation for Long Tail Products with Machine Learning

Yıl 2022, Cilt: 6 Sayı: 1, 97 - 103, 20.07.2022

Ahmet Zencirli Harun Çetin Nedim Tuğ Engin Seven Tolga Ensari

Öz

Many different types of products can be sold on electronic commerce platforms. Products can be sold regardless of where customers are. The recommendation system on these platforms plays a critical role in selecting and displaying interesting products for users. In the study, the products to be purchased next to the customers were recommended in the most accurate way. For this, machine learning algorithms were used and the results were compared. The singular value decomposition (SVD) method has achieved more successful results.

Anahtar Kelimeler

Long tail products, singular value decomposition, k-nearest neighbor, matrix factorization, next item recommendation

Kaynakça

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