A New Deep Learning-Based Prediction Model for Purchase Time Prediction Satin Alma Zamanmm Tahminine Yönelik Derin Ögrenme Tabanli Yeni Bir Tahmin Modeli

Utku A., AKCAYOL M. A.

6th International Conference on Computer Science and Engineering, UBMK 2021, Ankara, Türkiye, 15 - 17 Eylül 2021, ss.6-9 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ubmk52708.2021.9559012
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.6-9
  • Anahtar Kelimeler: ARIMA, CNN, Deep learning, LSTM, Purchase time prediction
  • Gazi Üniversitesi Adresli: Evet

Özet

Nowadays, user behaviour analysis is gaining importance due to the increasing interest of users in e-commerce platforms. By providing users with a personalized shopping experience, customer satisfaction and sales rates can be increased. In this study, a deep learning based hybrid model has been developed for predicting the next purchase time. The developed model has been compared extensively with ARIMA and LSTM. Experimental results showed that the developed deep learning model has more successful than ARIMA and LSTM in predicting the next purchase time.