Supervised learning methods for diversification of image search results

Goynuk B., Altingövde I. S.

42nd European Conference on IR Research, ECIR 2020, Lisbon, Portekiz, 14 - 17 Nisan 2020, ss.158-165 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1007/978-3-030-45442-5_20
  • Basıldığı Şehir: Lisbon
  • Basıldığı Ülke: Portekiz
  • Sayfa Sayıları: ss.158-165
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

© Springer Nature Switzerland AG 2020.We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed variants are superior to two well-known baselines, with relative gains up to 11.4%.