click-through-rate

There are 5 repositories under click-through-rate topic.

DeepCTR
shenweichen / DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
autoint click-through-rate ctr deep-learning deepcross deepfm deepinterestevolutionnetwork deepinterestnetwork dien din esmm factorization-machines ffm fgcnn mlr mmoe nfm ple recommendation xdeepfm
Language:Python 7484
ChenglongChen / tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
factorization-machine deepfm ctr-prediction deep-ctr ctr click-through-rate
Language:Python 2037
shenweichen / DSIN
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
ctr din dien dsin ijcai advertising-dataset session-based-recommendation-system deep-learning recommender-system click-through-rate
Language:Python 431
hegongshan / Recommender-Systems-Paper
Must-read Papers for Recommender Systems (RS)
recommender-systems collaborative-filtering deep-learning matrix-factorization rating-prediction top-n-recommendations learning-to-rank click-through-rate social-recommendation graph-based-recommendation graph-neural-network graph-convolutional-network point-of-interest-recommendation sequential-recommendation explainable-recommendation conversational-recommendation
146
HuichuanLI / Recommand-Algorithme
推荐算法实战(Recommend algorithm)
pyhton3 sklearn item2vec click-through-rate
Language:Jupyter Notebook 116
Hirosora / LightCTR
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
ctr click-through-rate cvr convertion-rate deepfm pnn fnn wide-and-deep deep-and-cross xdeepfm tf2 tensorflow nfm afm autoint ccpm fgcnn mlr fibinet nffm
Language:Python 102
p768lwy3 / torecsys
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 Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
pytorch recommender-system recommendation-system python click-through-rate embedding-models
Language:Python 100
qian135 / ctr_model_zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
ctr click-through-rate factorization-machines ffm deepfm xdeepfm deepinterestnetwork pytorch machine-learning deep-learning
Language:Jupyter Notebook 70
fanoping / DIN-pytorch
PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
click-through-rate ctr-prediction deep-interest-network
Language:Python 64
YuanchenBei / MacGNN
The source code of MacGNN, The Web Conference 2024.
click-through-rate ctr-prediction graph-recommendations recommender-system
Language:Python 46
1146976048qq / MIAN-CTR
Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”
recommender-system click-through-rate
Language:Python 16
YuyuZha0 / bayes-smoothing
Click-Through Rate Estimation for Rare Events in Online Advertising
bayesian click-through-rate advertising
Language:Java 12
farrellwahyudi / Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning
In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.
ad-click-prediction business-recommendation classification-models click-through-rate confusion-matrix data-analysis feature-importance impact-analysis learning-curve logistic-regression machine-learning
Language:Jupyter Notebook 8
alicogintel / DSIN
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
click-through-rate deep-learning recommender-systems session-based-recommendation-system
Language:Python 7
YuanchenBei / Awesome-Click-Through-Rate-Prediction
A curated list of papers on click-through-rate (CTR) prediction.
click-through-rate computational-advertising recommender-system
7
YuanchenBei / NRCGI
The source code of NRCGI (Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction, CIKM2023).
click-through-rate ctr-prediction graph-recommendations
Language:Python 5
VladOnMyOwn / ctr-poisson-bootstrap
Here I demonstrate the performance difference between the Poisson and the classic bootstrap by estimating the confidence interval for the difference of CTRs of the two user groups
ab-test ab-testing ab-tests bootstrap statistical-tests statistics poisson-bootstrap big-data big-data-processing python click-through-rate
Language:Jupyter Notebook 4
vmipshu / BaGFN
This is an official implementation of feature interaction for BaGFN
feature-engineering broad-learning graph-neural-networks attention-mechanism ctr-prediction click-through-rate
Language:Python 4
rdolor / train-tfrecords
Training pipeline using TFRecord files
tensorflow click-through-rate microsoft-nni docker pipfile
Language:Python 3
yeyingdege / ctr-din-pytorch
The Most Complete PyTorch Implementation of "Deep Interest Network for Click-Through Rate Prediction"
click-through-rate ctr ctr-prediction deep-interest-network pytorch pytorch-implementation
Language:Python 3
shadowaxe99 / strikeprick
StrikePrick is your one-stop destination for exposing and overturning ineffective, outdated email marketing strategies. This repository offers a data-driven, humor-infused critique of commonly touted advice, using verified statistics to debunk myths and set the record straight. Designed for e-commerce brands and marketers.
click-through-rate customer-acquisition email-targeting lead-generation marketingautomation openrates segmentation user-experience userexperience clickthroughrate customeracquisition email-segmentation emailtargeting marketing-automation-targeting nurturing-flows nurturingflows open-rates revenue-growth revenuegrowth
Language:Python 2
Abuton / Intermediate-DS-Projects
I went on a 5 days sprint of completing some of my previously started projects and i hope to have 4 project deployed at the end of the 5th day.
whatsapp-chat kaggle-competition recommender-system click-through-rate data-visualization oop
Language:Jupyter Notebook 1
imsheridan / xDeepRank
An eXtensible Package of Deep Learning based Ranking Models for Large-scale Industrial Recommender System with Tensorflow
ctr click-through-rate recommender-system recommendation ranking deep-learning tensorflow industrial large-scale
Language:Python 1
MingalievDinar / adverity
An introduction of a simple approach for CTR Anomaly Detection
ctr-prediction anomaly-detection time-series moving-average click-through-rate
Language:Jupyter Notebook 1
ahmadara / CTR-Predeiction
click-through-rate criteo criteo-dataset ctr-prediction
Language:Jupyter Notebook 0
faizns / Predict-Clicked-Ads-Customer-Classification
This repository contains a machine learning model for predicting customer click-through rate on ads. By analyzing user demographics and browsing behavior, the model aims to identify potential customers with a higher likelihood of clicking on ads.
classification-algorithm click-through-rate machine-learning python
Language:Jupyter Notebook 0
GNOEYHEAT / CTR_stacking
웹 광고 클릭률 예측 AI 경진대회, DACON (2024.05.07 ~ 2024.06.03)
big-data click-through-rate click-through-rate-prediction high-cardinality imbalanced-classification
Language:Python 0
ksolarski / effCTR
Implementation of algorithms for click through rate predictions utilising sparsity.
click-through-rate machine-learning python sparse-matrix stochastic-gradient-descent
Language:Jupyter Notebook 0
stmunees / ML-Kaggle-02
CS7CS4- Machine Learning- Recommendation Algorithm- Click Prediction- Kaggle Competition
cs7cs4 machine-learning recommendation-system click-prediction click-through-rate recommender-system
Language:Jupyter Notebook 0
pingsutw / Recommendation-system
Recommendation system implementation
ai click-through-rate ctr deep-learning deepfm tensorflow
Language:Python

click-through-rate

shenweichen / DeepCTR

ChenglongChen / tensorflow-DeepFM

shenweichen / DSIN

hegongshan / Recommender-Systems-Paper

HuichuanLI / Recommand-Algorithme

Hirosora / LightCTR

p768lwy3 / torecsys

qian135 / ctr_model_zoo

fanoping / DIN-pytorch

YuanchenBei / MacGNN

1146976048qq / MIAN-CTR

YuyuZha0 / bayes-smoothing

farrellwahyudi / Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

alicogintel / DSIN

YuanchenBei / Awesome-Click-Through-Rate-Prediction

YuanchenBei / NRCGI

VladOnMyOwn / ctr-poisson-bootstrap

vmipshu / BaGFN

rdolor / train-tfrecords

yeyingdege / ctr-din-pytorch

shadowaxe99 / strikeprick

Abuton / Intermediate-DS-Projects

imsheridan / xDeepRank

MingalievDinar / adverity

ahmadara / CTR-Predeiction

faizns / Predict-Clicked-Ads-Customer-Classification

GNOEYHEAT / CTR_stacking

ksolarski / effCTR

stmunees / ML-Kaggle-02

pingsutw / Recommendation-system