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推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
python+selenium to download course Docs in mooc
A course recommendation system using the Coursera Courses dataset which contains over 3,000 courses.
Food/Diet Recommendation system using machine learning
Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build similar projects.
🎥 豆瓣电影推荐系统（Douban Movie Recommendation System）根据豆瓣电影数据以及豆瓣用户的观影和影评数据，使用基于物品的协同过滤算法对用户进行个性化推荐，并设计GUI进行用户交互。
商品大数据实时推荐系统。前端：Vue + TypeScript + ElementUI，后端 Spring + Spark
Papers about recommendation systems that I am interested in
PredictionIO, a machine learning server for developers and ML engineers.
在Spark环境下，利用Flask框架，采用Mongodb设计的一个在线电影推荐系统的演示demo
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Ne…
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。
SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset
Thesis project on Recurrent Neural Networks for Recommender Systems
https://github.com/JiachengLi1995/TiSASRec in PyTorch
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks
Course Recommendation System using Genetic Algorithm
Movie Recommendation System using the MovieLens dataset
Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python
sequential content-based recommendation system
Best Practices on Recommendation Systems
Recommendation system based on collaborative filtering and LSTM-RNN
Time-based Sequence Model for Personalization and Recommendation Systems