Recommendatıon Systems In Bankıng – A Lıteratur Revıew

Öz

Recommendation systems are a technology aimed at finding the most compatible match between products and customers, using sophisticated algorithms to process the rapidly growing pools of user and product data in today's world. While they can be applied to various product types across different sectors, the primary goal is always to optimize customer satisfaction, provide a personalized user experience, and boost sales. This study focuses on recommendation systems in the banking sector, delving deeply into the current literature while examining the datasets and methods used. The aim of the research is to highlight the potential benefits of recommendation systems in the banking industry and identify potential areas for future research.

Anahtar Kelimeler

• Recommendation systems
• banking
• literature review

Bankacılık Sektöründe Tavsiye Sistemleri: Bir Literatür Çalışması

Öz

Tavsiye sistemleri, günümüzde hızla artan kullanıcı ve ürün veri havuzlarını işlemek üzere sofistike algoritmaların kullanıldığı ve ürünler ile müşteriler arasında en uyumlu eşleşmeyi bulmayı amaçlayan bir teknolojidir. Farklı sektörlerde çeşitli ürün tipleri için uygulanabilse de, ana hedef her zaman müşteri memnuniyetini optimize etmek, kişiselleştirilmiş bir kullanıcı deneyimi sunmak ve satışları artırmaktır. Bu çalışma, bankacılık sektöründeki tavsiye sistemlerine odaklanır ve mevcut literatürü derinlemesine inceleyerek kullanılan veri setlerini ve yöntemleri ele alır. Çalışmanın amacı, bankacılık sektöründe tavsiye sistemlerinin potansiyel faydalarını ortaya koymak ve gelecekteki araştırmalar için potansiyel alanları belirlemektir.

Anahtar Kelimeler

• Tavsiye sistemleri
• bankacılık
• literatür çalışması

Destekleyen Kurum

Vakıfbank

Kaynakça

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