Research Starting Plan

Jinning Li, 07/24/2018

Code Github: https://github.com/jinningli/ad-placement-pytorch

01 Code review of CrowdAI Rank1

• Use a FTRL model https://github.com/alexeygrigorev/nips-ad-placement-challenge
• Mainly Feature Processing
• delete the first two features
• replace any feature larger than 1 as 1
• process the result using sigmoid function and some other tricks.

[FINISH]

02 Try some mainstream linear models

• Simple LR [FINISH]
• XGBoost
• LightGBM
• FFM

Also try to adapt the objective function with propensity value.

03 Try some Deep Learning models

• CNN
• Deep FFM > https://arxiv.org/abs/1703.04247
• DCN > https://arxiv.org/abs/1708.05123
• Neural FM > https://arxiv.org/abs/1708.05027
• Wide & Deep > https://arxiv.org/abs/1606.07792
• PNN > https://arxiv.org/abs/1611.00144
• Deep Interest > https://arxiv.org/abs/1706.06978

Consider how to combine propensity value

04 My own model

Develop my own propensity weighted deep click model

05 Apply some feature tricks

• repeated features
• feature overlap
• …