- Get human (algorithmic) matching data.
1.1. An example dataset is available for download: Human Dataset Sample
1.2. An example reference match is given in Reference Match Example
1.3. An example algorithmic match is given in Algorithmic Match Example - Clone the PoWareMatch repository
- Update Config with your configuration details.
- RunFiles folder consists of several runnables to train and test your dataset using a 5-fold cross validation.
1.1 The runnable files differ in the extent of which the experiments are run (e.g., use pred_y to only train and test a calibration model) - Once the models are trained, you can use the PoWareMatch inference to calibrate human matching and generate better matches.
The paper is under submission.
PoWareMatch was developed at the Technion - Israel Institute of Technology by Roee Shraga under the supervision of Prof. Avigdor Gal