Prediction of Purchase Intention on the E-Commerce Clickstream Data
27th Signal Processing and Communications Applications Conference, 24 - 26 Nisan 2019, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2019.8806311
- Anahtar Kelimeler: Clickstream data, Web usage mining, Incremental clustering, Anomaly Detection
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Every day millions of customers do shopping through
e-commerce web sites around the world. Huge amounts of click stream data are
generated from customers' use of e-commerce websites. Learning the behavior of
users from click data and estimating the intention to buy has become an
important need. Within the scope of this research, a methodology is proposed on
the estimation of the purchase intention before finalizing the sessions of the
customers. The proposed methodology was tested by the ACM RecSys Symposium on
e-commerce data set published in 2015 and it was found that successful results
could be obtained.