Alternatives and similar repositories for Recommendation_System:

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

• 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
• 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。
  ☆103Updated 4 years ago
• catqaq / StepIntoRecommenderSystems
  RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分
  ☆17Updated 3 years ago
• chenxli / CS-note
  C++开发\机器学习\深度学习\推荐算法基础知识及面试题总结
  ☆20Updated 3 years ago
• busesese / ESMM
  esmm model by tensorflow keras
  ☆67Updated 3 years ago
• MarkovSc / DeepCTR_tensorflow_keras_pytorch
  Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）
  ☆29Updated 2 months ago
• Eleanoryuyuyu / RecommendRelative
  推荐系统相关模型 包括召回和排序
  ☆29Updated 4 years ago
• kupuSs / DIEN-pipline
  DIEN-pipline implement
  ☆34Updated 5 years ago
• Orisun / ffm
  ☆23Updated 7 years ago
• chenxingqiang / DNN-YouTube-RecSys
  This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…
  ☆54Updated 4 months ago
• Snail110 / recsys
  推荐系统实战
  ☆33Updated 5 years ago
• StephenBo-China / DIEN-DIN
  阿里DIEN与DIN Tensorflow2.0 复现
  ☆53Updated 4 years ago
• bubblezhong / DIN_DIEN_tf2.0
  Deep Interest Network for Click-Through Rate Prediction Deep Interest Evolution Network for Click-Through Rate Prediction
  ☆10Updated 4 years ago
• shibing624 / rater
  rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。
  ☆44Updated 4 years ago
• iwtbs / recommend-algorithm
  介绍作者在学习推荐系统过程中学习到的知识，包括爬虫、大数据、NLP、召回、排序等模块。包括知识总结和代码实践两部分。
  ☆11Updated 4 years ago
• littlemesie / recommend-tf2.0
  推荐系统之深度学习模型，框架采用tensorflow2
  ☆54Updated 2 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
  ☆59Updated 6 years ago
• littlemesie / recommend-learning
  推荐算法学习
  ☆39Updated last year
• WeavingWong / JDATA_2019-Cate_Shop_predict
  京东杯 2019 第六届泰达创新创业挑战赛-用户对品类下店铺购买预测_季军方案
  ☆18Updated 5 years ago
• wangzhegeek / DSSM-Lookalike
  ☆196Updated 4 years ago
• zxxwin / tf2_deepfm
  tensorflow2.0 实现的 DeepFM，使用 Criteo 子数据集加以实践。
  ☆29Updated 4 years ago
• jiangzhongkai / ifly-algorithm_challenge
  讯飞移动广告反欺诈算法竞赛
  ☆31Updated 5 years ago
• Thinkgamer / RecSysDevCode
  《推荐系统开发实战》代码及勘误
  ☆59Updated 4 years ago
• Fisher87 / ai_explore
  机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
  ☆67Updated 2 years ago
• YunWGui / RecSys-Book-Notes
  推荐系统读书笔记、思维导图等
  ☆39Updated last year
• lcxanhui / JDATA-2019
  京东JDATA2019-用户对品类下店铺的购买预测
  ☆18Updated 5 years ago
• xiaogp / customer_churn_prediction
  零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结
  ☆67Updated last year
• yezhiwen / tensorflow_recommend_algorithm
  ☆18Updated 4 years ago
• isthegoal / recommendation_model_master
  自己学习推荐系统过程中用到的代码
  ☆49Updated 5 years ago
• hecongqing / 2017-daguan-competition
  2017“达观杯”个性化推荐算法挑战赛-rank6
  ☆43Updated 5 years ago