Stars
Build a Book Recommendation System using Goodreads data (10k books)
Recommender system for Yelp users based on features such as previous reviews
A news recommendation system tailored for user communities
使用随机森林模型预测股价趋势(涉及数据预处理)
algorithms about recommender systems：probabilistic matrix factorization
Matrix factorization with Bayesian Personalized Ranking.
Implementation of SVD and SVD++ for recommendation
My Jupyter Notebook workspace for Movie recommendation from MovieLens 100k
TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)
Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"
Implement and improved KNN collaborative filtering, hit rate calculation, ALS matrix factorization, optimization on hyper-parameters, precision-recall matrix, performance on different data size
Book recommender system using collaborative filtering based on Spark
The world's most popular free, open source ad serving system. You can download the latest release at:
Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition
Fast Python Collaborative Filtering for Implicit Feedback Datasets
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising Guaranteed Display Advertising
Pop-up based view(e.g. alert sheet), can be easily customized.