Alternatives and similar repositories for Recommended-system-practice

Users that are interested in Recommended-system-practice are comparing it to the libraries listed below

• 1092798448 / RecSys
  推荐系统实践(基于近邻和LFM的推荐系统)
  ☆102Updated 7 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
• Snail110 / recsys
  推荐系统实战
  ☆33Updated 5 years ago
• Thinkgamer / RecSysDevCode
  《推荐系统开发实战》代码及勘误
  ☆60Updated 5 years ago
• TrWestdoor / recommendation
  Recommend System
  ☆29Updated 5 years ago
• yanshengli / second_bigdata
  第二届全国大数据比赛-个性化新闻推荐
  ☆69Updated 9 years ago
• jt120 / BAAI-zhihu-2019
  智源 - 看山杯 专家发现算法大赛 2019 7th (https://www.biendata.com/competition/zhihu2019/)
  ☆23Updated 5 years ago
• ShenDezhou / icme2019
  短视频内容理解与推荐竞赛
  ☆83Updated 5 years ago
• Eleanoryuyuyu / RecommendRelative
  推荐系统相关模型 包括召回和排序
  ☆30Updated 5 years ago
• gcg0223 / 2019TencentAD
  2019年腾讯广告算法大赛rank68
  ☆14Updated 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
• liyumeng / SmpCup2016
  2nd Place Solution for SMP CUP 2016
  ☆93Updated 8 years ago
• zwkkk / 2019-CCF-Sales-Forecast-of-Passenger-Vehicle-Segment-Market
  ☆45Updated 5 years ago
• bettenW / 2018-iFLYTEK-Marketing-Algorithms-Competition-Finals-Rank1
  2018科大讯飞营销算法大赛（冠军方案）
  ☆94Updated 5 years ago
• LancelotHolmes / JData
  a solution for 2017 JData competition,rank A: 139/4240，B: 97/4240
  ☆13Updated 7 years ago
• liuchenailq / zhihu-baseline
  看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)
  ☆37Updated 5 years ago
• isthegoal / recommendation_model_master
  自己学习推荐系统过程中用到的代码
  ☆50Updated 5 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
  ☆47Updated 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。
  ☆104Updated 4 years ago
• MarkovSc / DeepCTR_tensorflow_keras_pytorch
  Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）
  ☆30Updated 5 months ago
• sandman13 / Personal_Recommendation_Action
  一些经典的个性化推荐算法的实现，从理论推导到实战
  ☆68Updated 4 years ago
• xuerongchuan / RSpapers
  推荐系统论文
  ☆23Updated 5 years ago
• ECNUdase / Seminar-Materials
  组会ppt与论文--每一次的精心准备都值得留下记录😛
  ☆147Updated 5 years ago
• fuhailin / Recommender-System
  利用MovieLens数据，Pearson相似度，分别基于User和Item构建一个简单的kNN推荐系统，并给出RMSE评测
  ☆68Updated 6 years ago
• LogicJake / 2020_KDD_Debiasing_TOP13
  KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13
  ☆65Updated 4 years ago
• Makaixin / Correlation-between-requirements-and-achievements
  CCF BDCI 2019 “技术需求”与“技术成果”项目之间关联度计算模型 复赛B榜top1解决方案
  ☆76Updated last year
• 61Duke / recommend_system_learning
  neteasy music recommend system based on Surprise libaray and word2vec model using gensim library
  ☆48Updated 6 years ago
• qiangsiwei / competition_tianchi
  阿里移动推荐算法比赛
  ☆79Updated 8 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
• StephenBo-China / recommendation_system_sort_model
  推荐系统排序模型复现
  ☆46Updated 4 years ago