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
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
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.
新闻推荐系统，使用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。
Implementacija algoritama predstavljenih na predmetu Analiza velikih skupova podataka (AVSP)
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