PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.

Recommendation engine and it's algorithms in python , R .

Research on User Profile and Resource Recommendation of Online Learning Platform Based on Collaborative Filtering Algorithm

基于协同过滤算法的个性化新闻推荐系统，SpringBoot实现了基于用户的协同过滤推荐算法，根据评分数据计算推荐，同时还使用了新用户喜好标签进行混合推荐，及将两种推荐结果全部输出，解决了冷启动和数据稀疏性问题。同时采用基于统计的热点推荐和相关推荐等。采用爬虫收集新闻数据实时更新新闻数据和推荐结果。 Java+SSM(Spring+SpringMVC+Mybatis)+Mysql基于用户的协同过滤算法个性化新闻推荐系统，采用基于用户、项目、内容、聚类、混合的协同过滤推荐算法。

新闻推荐系统，使用SpringBoot和SSM框架实现基于用户的协同过滤推荐算法，根据评分数据计算推荐，同时还使用了新用户喜好标签进行混合推荐，及将两种推荐结果全部输出，解决了冷启动和数据稀疏性问题。同时采用基于统计的热点推荐和相关推荐等。采用爬虫收集新闻数据实时更新新闻数据和推荐结果。

Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

Implementation of various popular Collaborative Filtering algorithms in Python.

AI-powered game recommendation system using KNN and collaborative filtering, with Flask and C# APIs and an Angular frontend

本系统采用Java技术SpringBoot框架和Python技术Django框架（两种框架开发的都有）和Hadoop，hdfs，Scrapy爬虫，MySQL数据库，B/S 结构，Vue.js 技术，算法亮点，采用随机森林回归算法进行预测和协同过滤算法(余弦相似性）推荐。

Implementacija algoritama predstavljenih na predmetu Analiza velikih skupova podataka (AVSP)

A content-based system recommends movies to an input user based on the weighted genre score of a movie and a collaborative filtering system recommends movies liked by other users having a similar taste profile as the input user.

Implementation of Collaborative filtering Algorithm.

This project is to analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like. Recommending articles that are most pertinent to specific users is beneficial to both service providers and users.