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Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Created
2017-10-07
133 commits to master branch, last one 2 years ago
Tensorflow implementation of DeepFM for CTR prediction.
Created
2017-11-11
10 commits to master branch, last one 6 years ago
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Created
2019-05-17
7 commits to master branch, last one 2 years ago
Must-read Papers for Recommender Systems (RS)
deep-learning
learning-to-rank
rating-prediction
click-through-rate
recommender-systems
graph-neural-network
matrix-factorization
social-recommendation
top-n-recommendations
collaborative-filtering
sequential-recommendation
explainable-recommendation
graph-based-recommendation
graph-convolutional-network
conversational-recommendation
point-of-interest-recommendation
Created
2020-09-13
103 commits to master branch, last one 3 years ago
推荐算法实战(Recommend algorithm)
Created
2019-05-16
101 commits to master branch, last one 5 months ago
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
Created
2019-07-28
15 commits to master branch, last one 5 years ago
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...
Created
2019-08-11
210 commits to master branch, last one 2 years ago
The source code of MacGNN, The Web Conference 2024.
Created
2023-10-12
20 commits to main branch, last one 6 months ago