An Approach for Reducing Return Rates for Clothing E-Commerce through Customized Size Recommendations

An Approach for Reducing Return Rates for Clothing E-Commerce through Customized Size Recommendations

A size recommendation system for clothing e-commerce. Trendyol's transaction data is preprocessed and size recommendations are offered to the users according to their shopping history.

Poster: https://drive.google.com/file/d/174IAclvHGd1ZGSfAnBLEV7fJ17rRkyMG/view?usp=sharing

Video: https://drive.google.com/file/d/158zGarq5K-ehOE6UioJqBCjeiejb4EgX/view?usp=sharing

Project Poster: 

Project Members: 

Ahmet Yavuz Demir
Yunus Ege Saygılı

Project Advisor: 

Suzan Üsküdarlı

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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