There are 22 repositories under recommendation-algorithm topic.
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 collection of resources for Recommender Systems (RecSys)
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
:zap: 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.
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.
Machine Learning (EE 5184) in NTU
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。
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)
🎥 Movie Recommender AI System
:trident: 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.
Finding recommendations between them all. Work in progress.
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)。
Recommender system
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
Board game recommendation engine
Code for RecSys'19 paper: Leveraging Post-click Feedback for Content Recommendations
A book recommendations application that works on the Dash framework and implements content based filtering using TF-IDF and cosine similarity.
An easy and efficient tool to build sequential recommendation system utilizing SASRec
Implementations of the EigenRec algorithm
Reel Rec - A Movie Recommendation AI designed to change the way movie enthusiasts discover and enjoy favorite films. Made using Django & Tailwind CSS.
A lightweight recommendation algorithm framework based on LycorisNet.
基于Springboot协同过滤算法音乐推荐系统 开发语言:Java 框架:springboot JDK版本:JDK1.8 服务器:tomcat7 数据库:mysql 5.7 数据库工具:Navicat11 开发软件:idea Maven包:Maven3.3.9 项目介绍: 后端框架使用Springboot+mybatis 前端框架使用Vue 数据库使用mysql 推荐算法使用协同过滤推荐法 前台界面采用智能排序向用户进行推荐
In this Movie Dataset I have used my Basic Knowledge of Recommendation Systems. I have used the Concept of Content -Based Recommendation System to Recommend that If a User Watched a Particular Movie than Which Other Movies He/She is going to like or watch.
Research on User Profile and Resource Recommendation of Online Learning Platform Based on Collaborative Filtering Algorithm
Behavior based video recommendation, global keyboard control and ads block for Youtube
依托 go-zero 高性能微服务框架构建的情感倾诉社区,提供匿名树洞、即时倾诉、情感互助等功能,通过分布式架构保障高并发场景下的隐私安全与实时响应,打造温暖可靠的心灵港湾。
A powerful TensorFlow.js-based collaborative filtering recommendation system