BinFuPKU/CTRRecommenderModels
I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. （对工业界学术界的CTR推荐调研并实现25个算法模型，2023）
This project helps e-commerce platforms, content providers, or advertisers improve their recommendation systems. It provides pre-built, state-of-the-art models for predicting user clicks on items like products, ads, or content. By feeding in user behavior data and item attributes, you get predictions that help surface the most relevant items to individual users.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer working on optimizing user engagement and conversions for a platform with a large catalog of items.
Not ideal if you are looking for a complete, production-ready recommendation system out-of-the-box, as this focuses on the core predictive models.
Stars
56
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BinFuPKU/CTRRecommenderModels"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVIDIA-Merlin/HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
UlionTse/mlgb
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow...
imsheridan/DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction