Entire Space Multi-Task Model ESSM

Tags: #machine learning #multi task

Equation

L(θcvr,θctr)=i=1Nl(yi,f(xi;θctr))+i=1Nl(yi&zi,f(xi;θctr)×f(xi;θcvr))

Latex Code

1
L(\theta_{cvr},\theta_{ctr})=\sum^{N}_{i=1}l(y_{i},f(x_{i};\theta_{ctr}))+\sum^{N}_{i=1}l(y_{i}\&z_{i},f(x_{i};\theta_{ctr}) \times f(x_{i};\theta_{cvr}))

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Introduction

Equation



Latex Code

1
L(\theta_{cvr},\theta_{ctr})=\sum^{N}_{i=1}l(y_{i},f(x_{i};\theta_{ctr}))+\sum^{N}_{i=1}l(y_{i}\&z_{i},f(x_{i};\theta_{ctr}) \times f(x_{i};\theta_{cvr}))

Explanation

ESSM model uses two separate towers to model pCTR prediction task and pCTCVR prediction task simultaneously.

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