Learning To Rank

최근 추천 시스템을 구현하면서 GBDT 기반 Learning-To-Rank로 모델을 만들고 있으면서 공부한 자료들을 공유한다.
자세한 설명은 따로 시간을 내서 작성할 예정이다.

• An Article about Cost Efficient CTR Prediction Model by Hyperconnect (Link)
• Ranking Ads with Machine Learning by Chandan Routray (Link)
• Introduction to Learning to Rank by Kyle Chung (Link)
• Papers
  • Winning The Transfer Learning Track of Yahoo!’s Learning To Rank Challenge with YetiRank
    Andrey Gulin, Igor Kuralenok, Dimitry Pavlov. PMLR 14:63-76
  • Are Neural Rankers Still Outperformed By Gradient Boosted Decision Trees?
    Qin, Zhen, et al.