UserCF和ItemCF协同过滤推荐算法的实现

本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。

结合知识图谱和协同过滤的电影推荐系统

毕业设计课题——电影推荐系统

The goal of this project is to build a movie recommendation system using Non negative regularized matrix factorization without using any Machine Learning libraries on movie lens dataset

Python+Spark+Hadoop大数据基于用户画像电影推荐系统毕业源码案例设计

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An user based and item based movie rating prediction recommender system based on data provided by MovieLens using memory-based Collaborative filtering technique by utilizing Pearson correlation, Euclidean distances, Cosine distances, and K-nearest neighbors algorithms

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Download the apk file

Movie Recommendation System project developed in Java using Spring Boot and MySQL.

Movie Recommendation System using Collaborative and Content based recommendation system using Hadoop.

level2-movierecommendation-recsys-03 created by GitHub Classroom

Recommendation sytem using kNN & cosine similarity

level2_movierecommendation_recsys-level-recsys-04 created by GitHub Classroom

A desktop app for movie recommendation and download.

Movie Recommendation System using Cosine Similarity and Sentiment Analysis of Movie Reviews using Naïve Bayes and Support Vector Machine. 🎥🍿

Movie recommandation system based on graph using graph signal processing

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A movie recommendation system suggests films to users based on their search input .

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level2-recsys-movierecommendation-recsys-05-lv3 created by GitHub Classroom

level2-recsys-movierecommendation-recsys-01-lv3 created by GitHub Classroom

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This is movie recommendation app built with React

codes for the prediction io movie recommendation app article for Sitepoint

level2_movierecommendation-recsys-03 created by GitHub Classroom

A modern Django-based movie recommendation platform with personalized suggestions and a rich browsing experience.

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Content-based movie recommendation engine