Alternatives and similar repositories for UPCF

Users that are interested in UPCF are comparing it to the libraries listed below

• TianHongTao / ID-DAML
  推荐系统---实验+复现+创新
  ☆49Updated 2 years ago
• ChenJiaDong9219 / movieRecommendation
  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。
  ☆137Updated 7 years ago
• qq209096727 / Recommondation-System
  一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解
  ☆297Updated 7 years ago
• xingzhexiaozhu / MovieRecommendation
  UserCF和ItemCF协同过滤推荐算法的实现
  ☆556Updated 3 years ago
• YJiangcm / Movielens1M-movie-recommendation-system
  使用MovieLens数据集实现了基于Auto Encoder(AE), Variational Auto Encoder(VAE), BERT的深度学习电影推荐系统
  ☆76Updated 4 years ago
• HyZhu39 / recommendation
  实现了基于协同过滤(UserCF)的模型、基于隐语义(LFM)的模型、基于图(PersonalRank)的模型，并结合三种模型的结果给出最终结果的推荐算法
  ☆23Updated 6 years ago
• fuxuemingzhu / MovieLens-Recommender
  A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
  ☆185Updated 5 years ago
• xuerongchuan / RSpapers
  推荐系统论文
  ☆23Updated 5 years ago
• XiuzeZhou / Recommender-Systems
  collaborative filtering methods for recommender systems
  ☆62Updated 4 years ago
• liuq4360 / recommender_systems_abc
  基于netflix prize 和 H&M开源数据集，从零开始构建企业级推荐系统。
  ☆97Updated 8 months ago
• NeWnIx5991 / AutoRec-for-CF
  Pytorch for autorec with collaborative filtering
  ☆36Updated 6 years ago
• Songbo729066989 / recsys
  algorithms about recommender systems：probabilistic matrix factorization
  ☆25Updated 8 years ago
• gtshs2 / TrustSVD
  TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings
  ☆21Updated 7 years ago
• SSSxCCC / Recommender-System
  A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN a…
  ☆414Updated 4 years ago
• npxiaoying / Social-Recommendation
  Summary of social recommendation papers and codes
  ☆218Updated 3 years ago
• XuefengHuang / RecommendationSystem
  Book recommender system using collaborative filtering based on Spark
  ☆385Updated 7 years ago
• xuChenSJTU / PMF
  This is a python code for probabilistic matrix factorization in recommendation.
  ☆58Updated 2 years ago
• wangyuyunmu / Recommended-system-practice
  项亮等《推荐系统实践》算法代码
  ☆29Updated 5 years ago
• Holy-Shine / movie_recommend_system
  一个简单的电影推荐系统
  ☆232Updated 3 years ago
• 1092798448 / RecSys
  推荐系统实践(基于近邻和LFM的推荐系统)
  ☆103Updated 7 years ago
• tctctctctc / matrix-factorization
  矩阵分解pytorch实现
  ☆13Updated last year
• rexrex9 / kb4recMovielensDataProcess
  用来处理freebase, kb4rec, movielens它们数据集的项目
  ☆41Updated 4 years ago
• HeartbreakSurvivor / RsAlgorithms
  all kinds of recommendation algorithms implement.
  ☆127Updated 4 years ago
• lkj1114889770 / File_Recommend
  构建的简单电影推荐系统
  ☆15Updated 6 years ago
• jiangnanxiaoshuaigua / movies_recommend_system
  电影推荐系统
  ☆39Updated 6 years ago
• ZainZhao / Personalized-recommend
  基于tensorflow的个性化电影推荐系统实战(有前端)
  ☆279Updated 5 years ago
• Giyn / DoubanMovieRecommendationSystem
  豆瓣电影推荐系统（Douban Movie Recommendation System）根据豆瓣电影数据以及豆瓣用户的观影和影评数据，使用基于物品的协同过滤算法对用户进行个性化推荐，并设计GUI进行用户交互。
  ☆222Updated 4 years ago
• hongleizhang / RSAlgorithms
  RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.
  ☆715Updated last year
• gccrpm / BookRecSys
  图书推荐系统
  ☆12Updated 6 years ago
• lpty / recommendation
  推荐系统实例
  ☆790Updated 7 years ago