Alternatives and similar repositories for movie_recommender

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

• wyl6 / Recommender-Systems-Samples
  Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.
  ☆91Updated 5 years ago
• fuxuemingzhu / MovieLens-Recommender
  A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
  ☆185Updated 5 years ago
• 1092798448 / RecSys
  推荐系统实践(基于近邻和LFM的推荐系统)
  ☆102Updated 7 years ago
• Holy-Shine / movie_recommend_system
  一个简单的电影推荐系统
  ☆234Updated 3 years ago
• peiss / ant-learn-recsys
  推荐系统从入门到实战
  ☆166Updated 3 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。
  ☆136Updated 7 years ago
• Jesse-csj / TensorFlow_Practice
  推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/
  ☆293Updated 4 years ago
• Shicoder / Deep_Rec
  存放推荐算法相关代码、文档、资料
  ☆257Updated 4 years ago
• fuxuemingzhu / Summary-of-Recommender-System-Papers
  阅读过的推荐系统论文的归类总结，持续更新中…
  ☆379Updated 6 years ago
• XiuzeZhou / Recommender-Systems
  collaborative filtering methods for recommender systems
  ☆62Updated 4 years ago
• StephenBo-China / DIEN-DIN
  阿里DIEN与DIN Tensorflow2.0 复现
  ☆57Updated 5 years ago
• xingzhexiaozhu / MovieRecommendation
  UserCF和ItemCF协同过滤推荐算法的实现
  ☆560Updated 3 years ago
• isthegoal / recommendation_model_master
  自己学习推荐系统过程中用到的代码
  ☆50Updated 6 years ago
• ShaoQiBNU / YouTube_Recommendations
  YouTube推荐算法
  ☆112Updated 3 years ago
• wangyuyunmu / Recommended-system-practice
  项亮等《推荐系统实践》算法代码
  ☆29Updated 5 years ago
• Lizhen0797 / MMoE-TF2.0
  MMoE-TF2.0
  ☆28Updated 5 years ago
• moneyDboat / ConvMF
  卷积神经网络（CNN）提取影评特征构建电影推荐系统，pytorch实现
  ☆130Updated 7 years ago
• LianHaiMiao / Attentive-Group-Recommendation
  Attentive Group Recommendation
  ☆136Updated 5 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…
  ☆413Updated 4 years ago
• GavinHacker / recsys_core
  [推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).
  ☆301Updated 3 years ago
• wuxinping1992 / cf_gbdt_lr
  简单的实现推荐系统的召回模型和排序模型，其中召回模型使用协同过滤算法，排序模型使用gbdt+lr算法
  ☆58Updated 6 years ago
• ZiyaoGeng / RSpaper-read
  Share Some Recommender System Paper I read.
  ☆69Updated 4 years ago
• LLSean / data-mining
  ☆46Updated 5 years ago
• JerryCatLeung / deepwalk_node2vector_eges
  将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现
  ☆55Updated 6 years ago
• yongqyu / DIEN-tf2
  Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction
  ☆81Updated 5 years ago
• TianHongTao / ID-DAML
  推荐系统---实验+复现+创新
  ☆49Updated 2 years ago
• wangruichens / recsys
  LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。
  ☆105Updated 5 years ago
• JianzhouZhan / Awesome-RecSystem-Models
  Implements of Awesome RecSystem Models with PyTorch/TF2.0
  ☆257Updated 5 years ago
• Hyfred / Pytorch_DeepFM
  DeepFM for CTR prediction problem （pytorch 1.0）
  ☆73Updated 6 years ago
• liulin7576 / DL_CTR
  基于科大讯飞AI营销算法比赛实现CTR深度学习方法
  ☆46Updated 6 years ago