CTR学习笔记

Name: DSXiangLi/CTR
Brand: DSXiangLi/CTR
SKU: project/DSXiangLi/CTR
Rating: 4.51 (253 reviews)

The code is not rigorously tested, if you find a bug, welcome PR ^_^ ~

Run: python main.py --model DeepFM --step train --dataset census --clear_model 1
Requirement: tensorflow 1.15

已完成模型列表[支持数据集]

FM [census]
FFM [census]
Embedding+MLP [census]
wide & Deep [census]
FNN [census]
PNN [census]
DeepFM [census & frappe]
AFM [census & frappe]
NFM [census & frappe]
Deep Crossing [census]
Deep & Cross [census & frappe]
xDeepFM [census & frappe]
FiBiNET [census & frappe]
DIN [amazon]

数据集当前支持census, frappe数据集，详情见data目录，training parameter和preprocess与数据集绑定
参考论文列表

[GBDT+LR] Practical Lessons from Predicting Clicks on Ads at Facebook
[FM] S. Rendle, Factorization machines
[FM Model] Fast Context-aware Recommendations with Factorization Machines
[FFM] Yuchin Juan，Yong Zhuang，Wei-Sheng Chin，Field-aware Factorization Machines for CTR Prediction
[NCF] Neural Collaborative Filtering
[Wide&Deep] Cheng H T, Koc L, Harmsen J, et al. Wide & deep learning for recommender systems
[FNN] Weinan Zhang, Tianming Du, and Jun Wang. Deep learning over multi-field categorical data - - A case study on user response
[PNN] Qu Y, Cai H, Ren K, et al. Product-based neural networks for user response prediction
[DeepFM] Huifeng Guo et all. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
[AFM] Attentional Factorization Machines - Learning the Weight of Feature Interactions via Attention Networks
[NFM] Neural Factorization Machines for Sparse Predictive Analytics
[DCN] Deep & Cross Network for Ad Click Predictions
[Deep Crossing] Deep Crossing - Web-Scale Modeling without Manually Crafted Combinatorial Features
[xDeepFM] xDeepFM- Combining Explicit and Implicit Feature Interactions for Recommender Systems
[FiBiNET]- Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
[AutoInt]- Automatic Feature Interaction Learning via Self-Attentive Neural Networks
[DIN] Deep Interest Network for Click-Through Rate Prediction.
[DIEN] Deep Interest Evolution Network for Click-Through Rate Prediction

总结博客

Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Tensorflow	175,179	327	77	16 hours ago	46	October 23, 2019	2,133	apache-2.0	C++
An Open Source Machine Learning Framework for Everyone
Transformers	102,489	64	911	16 hours ago	91	June 21, 2022	739	apache-2.0	Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Keras	58,478		330	17 hours ago	68	May 13, 2022	389	apache-2.0	Python
Deep Learning for humans
Tensorflow Examples	42,312			7 months ago			218	other	Jupyter Notebook
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Real Time Voice Cloning	41,693			a month ago			129	other	Python
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Ray	25,845	80	199	16 hours ago	76	June 09, 2022	2,891	apache-2.0	Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Data Science Ipython Notebooks	25,025			a month ago			33	other	Python
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Handson Ml	25,003			a month ago			136	apache-2.0	Jupyter Notebook
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Netron	23,043	4	63	a day ago	489	July 04, 2022	26	mit	JavaScript
Visualizer for neural network, deep learning, and machine learning models
Spleeter	22,526		5	16 days ago	36	June 10, 2022	196	mit	Python
Deezer source separation library including pretrained models.

Ctr

CTR学习笔记