Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms
Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms
Data driven marketing is becoming more and more vital for businesses day-by-day. Understanding customer behavior has the potential to decrease marketing costs as well as increase sales both in conventional marketing and online marketing. Since online users can access information faster, prices have become more competitive and customer behavior analysis has become more important. The purpose of this study is to predict the purchase interest of the users in an e-commerce web page by using the user session data such as pageview, duration etc. To this aim we used clickstream data for an e-commerce web page which is publicly available. Since only 16.5 percent of the sessions are completed with purchase in the dataset, increasing true positive rates rather than accuracy is more important. To this aim, we have explored the performance of boosting algorithms on the dataset and compared to those of state-of-the-art methods that were previously applied on the same dataset. Results show that boosting algorithms have better performance for identification of the sessions that end with a purchase.
Keywords:
Online shopping intention prediction, boosting algorithms, adaboost gradient boosting, extreme gradient boosting,
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| Bibtex | @araştırma makalesi { idunas848233, journal = {Natural and Applied Sciences Journal}, issn = {2645-9000}, address = {}, publisher = {İzmir Demokrasi Üniversitesi}, year = {2021}, volume = {4}, number = {2}, pages = {1 - 15}, doi = {10.38061/idunas.848233}, title = {Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms}, key = {cite}, author = {Köktürk Güzel, Başak Esin and Ünay, Devrim} } |
| APA | Köktürk Güzel, B. E. & Ünay, D. (2021). Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms . Natural and Applied Sciences Journal , 4 (2) , 1-15 . DOI: 10.38061/idunas.848233 |
| MLA | Köktürk Güzel, B. E. , Ünay, D. "Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms" . Natural and Applied Sciences Journal 4 (2021 ): 1-15 < |
| Chicago | Köktürk Güzel, B. E. , Ünay, D. "Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms". Natural and Applied Sciences Journal 4 (2021 ): 1-15 |
| RIS | TY - JOUR T1 - Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms AU - Başak EsinKöktürk Güzel, DevrimÜnay Y1 - 2021 PY - 2021 N1 - doi: 10.38061/idunas.848233 DO - 10.38061/idunas.848233 T2 - Natural and Applied Sciences Journal JF - Journal JO - JOR SP - 1 EP - 15 VL - 4 IS - 2 SN - 2645-9000- M3 - doi: 10.38061/idunas.848233 UR - Y2 - 2021 ER - |
| EndNote | %0 Natural and Applied Sciences Journal Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms %A Başak Esin Köktürk Güzel , Devrim Ünay %T Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms %D 2021 %J Natural and Applied Sciences Journal %P 2645-9000- %V 4 %N 2 %R doi: 10.38061/idunas.848233 %U 10.38061/idunas.848233 |
| ISNAD | Köktürk Güzel, Başak Esin , Ünay, Devrim . "Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms". Natural and Applied Sciences Journal 4 / 2 (Aralık 2021): 1-15 . |
| AMA | Köktürk Güzel B. E. , Ünay D. Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms. IDU Natural and Applied Sciences Journal (IDUNAS). 2021; 4(2): 1-15. |
| Vancouver | Köktürk Güzel B. E. , Ünay D. Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms. Natural and Applied Sciences Journal. 2021; 4(2): 1-15. |
| IEEE | B. E. Köktürk Güzel ve D. Ünay , "Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms", , c. 4, sayı. 2, ss. 1-15, Ara. 2021, doi:10.38061/idunas.848233 |
- ISSN: 2645-9000
- Yayın Aralığı: Yılda Yılda 2 Sayı
- Yayıncı: İzmir Demokrasi Üniversitesi
4.8b29
Sayıdaki Diğer Makaleler
Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms
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