click-through-rate topic

PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction

fanoping

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

shenweichen

Tensorflow implementation of DeepFM for CTR prediction.

ChenglongChen

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

shenweichen

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

moebg

Must-read Papers for Recommender Systems (RS)

hegongshan

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embeddin...

p768lwy3

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

qian135

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

Hirosora

推荐算法实战(Recommend algorithm)

HuichuanLI