Best Practices on Recommendation Systems
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Updated
Aug 2, 2024 - Python
Best Practices on Recommendation Systems
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
A TensorFlow recommendation algorithm and framework in Python.
A collection of resources for Recommender Systems (RecSys)
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
⚡ A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
商品关联关系挖掘,使用Spring Boot开发框架和Spark MLlib机器学习框架,通过FP-Growth算法,分析用户的购物车商品数据,挖掘商品之间的关联关系。项目对外提供RESTFul接口。
Machine Learning (EE 5184) in NTU
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
This is a new deep learning model for recommender system, which we called PHD
A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.
🎥 Movie Recommender AI System
A real-time news scraping and recommendation system
Finding recommendations between them all. Work in progress.
[PY]thon [R]ec[O]mmender [S]ystems library
PHP and wrapping Redis's sorted set APIs for specializing recommending operations.
Recommender system
A book recommendations application that works on the Dash framework and implements content based filtering using TF-IDF and cosine similarity.
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