User Segmentation and Propensity Score Matching Using Clickstream Data

User Segmentation and Propensity Score Matching Using Clickstream Data

Our aim is to detect users propensity to purchase products by analyzing their transactions and recommend the products they will possibly buy. We used large scale data from Trendyol throughout the project.

Poster: https://drive.google.com/file/d/1IZgTbXFI_Hf5xetOw15JH1zlfUUoQEwl/view?usp=sharing

Video: https://drive.google.com/file/d/1b4QqWH5MoexT26Hr3lP-ne1cSAGdOERO/view?usp=sharing

Project Poster: 

Project Members: 

Hatice Melike Ecevit
Merve İlik

Project Advisor: 

İnci Meliha Baytaş

Project Status: 

Project Year: 

2020
  • Spring

Bize Ulaşın

Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi,
34342 Bebek, İstanbul, Türkiye

  • Telefon: +90 212 359 45 23/24
  • Faks: +90 212 2872461
 

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