Skip to content

Latest commit

 

History

History
33 lines (20 loc) · 778 Bytes

README.md

File metadata and controls

33 lines (20 loc) · 778 Bytes

Implementation of Delayed Feedback Model (DFM) for Conversion Rate Prediction

This method is introduced in [1].

We implemented it in Cython to compare how long it takes to train our method[2] and DFM.

Important scripts

  • train_model.py

Use to learn DFM and get a average score.

  • predicted_model/dfm.pyc

The implementation code for DFM written in Cython.

Requirement

Python Package

  • pandas 0.23.0
  • numpy 1.16.1
  • sklearn 0.20.2
  • Cython 0.28.2
  • scipy 1.2.0

Setup

Run setup.sh.

Reference

[1] Chapelle, Olivier. “Modeling delayed feedback in display advertising.” KDD '14 (2014).

[2] Yasui Shota, Gota Morishita, Komei Fujita, Masashi Shibata "A Feedback Shift Correction in Display Advertising under the Delayed Feedback." WWW '20 (2020).