Similar or Dissimilar Users? Or Both?

KALELİ C., Polat H.

2nd International Symposium on Electronic Commerce and Security, Nanchang, Çin, 22 - 24 Mayıs 2009, ss.184-189 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/isecs.2009.138
  • Basıldığı Şehir: Nanchang
  • Basıldığı Ülke: Çin
  • Sayfa Sayıları: ss.184-189
  • Anahtar Kelimeler: collaborative filtering, e-commerce, performance, clustering, privacy
  • Anadolu Üniversitesi Adresli: Evet

Özet

E-commerce sites utilize collaborative filtering (CF) techniques to offer recommendations to their customers. To recruit new customers and keep the current ones, it is imperative for online vendors to provide accurate predictions efficiently without deeply violating users' privacy. To improve the overall performance of CF systems, it is important to use the appropriate data.