click-through-rate 开源项目推荐（52 个）

shenweichen /DeepCTR

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

ChenglongChen /tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

shenweichen /DSIN

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

HuichuanLI /Recommand-Algorithme

推荐算法实战(Recommend algorithm)

hegongshan /Recommender-Systems-Paper

Must-read Papers for Recommender Systems (RS)

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.

Hirosora /LightCTR

LightCTR 是一个基于张量流 2.0 的可扩展工具箱，用于构建 CTR/CVR 预测模型。

fanoping /DIN-pytorch

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

qian135 /ctr_model_zoo

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

YuanchenBei /MacGNN

The source code of MacGNN, The Web Conference 2024.

YuanchenBei /Awesome-Click-Through-Rate-Prediction

A curated list of papers on click-through-rate (CTR) prediction.

1146976048qq /MIAN-CTR

Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”

YuyuZha0 /bayes-smoothing

Click-Through Rate Estimation for Rare Events in Online Advertising

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.

lmxhappy /step-by-step-learning-ai

Paper notes on RecSys / Ads / Search (搜广推). Companion to WeChat「稳扎稳打学AI」. Notes-first, not a code warehouse.

alicogintel /DSIN

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

YuanchenBei /NRCGI

The source code of NRCGI (Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction, CIKM2023).

yeyingdege /ctr-din-pytorch

The Most Complete PyTorch Implementation of "Deep Interest Network for Click-Through Rate Prediction"

vmipshu /BaGFN

This is an official implementation of feature interaction for BaGFN

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.