Best Practices on Recommendation Systems
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Updated
Nov 5, 2026 - Python
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Best Practices on Recommendation Systems
python kubernetes data-science machine-learning tutorial ai deep-learning rating jupyter-notebook artificial-intelligence ranking recommender recommendation-system recommendation-engine recommendation recommendation-algorithm operationalization
A TensorFlow recommendation algorithm and framework in Python.
python machine-learning framework tensorflow recommendation-system recommender-system recommendation-algorithm
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
afm transformer resnet recommendation recommendation-algorithms ctr-prediction ctr recommendation-algorithm factorization-machine deepfm xdeepfm deep-ctr ad-algorithm esmm deep-cross deep-interest-network fibinet
A collection of resources for Recommender Systems (RecSys)
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
machine-learning deep-neural-networks deep-learning ml recommendation-system recommendation recommendation-algorithm
⚡ A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
抖音视频调教优化推荐流工具:聚焦你的兴趣、打破信息茧房,重塑用户的专属推荐流
agent automation ai script userscript filter greasemonkey tampermonkey gpt recommendation-algorithm violentmonkey douyin tiktok llm deepseek
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.
rating svd knn implicit-feedback rating-prediction recommendation-algorithm alternating-least-squares
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
php collaborative-filtering recommender recommender-system recommendation-algorithm ranking-algorithm euclidean-algorithm slope-one
A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.
Machine Learning (EE 5184) in NTU
machine-learning sentiment-analysis text-classification clustering cnn rnn image-classification recommender-system pm25 predictive-modeling unsupervised-learning sentiment-classification recommendation-algorithm
基于协同过滤算法的个性化新闻推荐系统的设计与实现(采用Java语言的SpringBoot和SSM两种框架分别实现基于用户、物品的协同过滤推荐算法)
javascript mysql java spring collaborative-filtering springboot mybatis springmvc ssm recommendation-algorithm
PHP and wrapping Redis's sorted set APIs for specializing recommending operations.
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 spark spring-boot recommendation fp-growth product-relation spark-mllib recommendation-algorithm product-recommendation
This is a new deep learning model for recommender system, which we called PHD
🎥 Movie Recommender AI System
python data-science recommender recommendation-system recommender-system movie-recommendation recommendation-algorithm movie-recommendation-system
Recommender system
基于Springboot的智慧教学平台的系统设计与实现(智慧教学推荐系统),可以进行学习分析和个性化推荐,系统可以根据学生的学习行为和表现进行分析,生成学习分析报告。根据学生的学习情况和需求,系统可以提供个性化的学习推荐和建议,推荐适合的课程和教学资源推荐(根据用户点击量或浏览量推荐)。
🔱 Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
python template-matching numpy scikit-learn pocket basic-learning artificial-neural-networks scratch decision-tree-classifier multiclass-classification recommendation-algorithm perceptron-learning-algorithm binary-perceptron adaboost-learning reward-and-punishment multiclass-kersel als-algorithm
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