Alternatives and similar repositories for RecommendRelative

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

• 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 5 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
• bettenW / 2018-iFLYTEK-Marketing-Algorithms-Competition-Finals-Rank1
  2018科大讯飞营销算法大赛（冠军方案）
  ☆95Updated 6 years ago
• ouc16020021031 / video-click-TOP1
  视频点击预测大赛-TOP1方案
  ☆88Updated 3 years ago
• hecongqing / 2017-daguan-competition
  2017“达观杯”个性化推荐算法挑战赛-rank6
  ☆43Updated 6 years ago
• bettenW / IJCAI18_Tianchi_Rank29
  IJCAI18-阿里妈妈广告转化率预测代码（Rank29）
  ☆96Updated 7 years ago
• Snail110 / recsys
  推荐系统实战
  ☆34Updated 5 years ago
• wangru8080 / gbdt-lr
  gbdt+lr
  ☆158Updated 6 years ago
• wangzhegeek / DSSM-Lookalike
  ☆207Updated 5 months ago
• aister2020 / KDDCUP_2020_Debiasing_1st_Place
  ☆172Updated 5 years ago
• LogicJake / 2020_KDD_Debiasing_TOP13
  KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13
  ☆67Updated 4 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 4 years ago
• siqi13579 / ctr_Keras
  LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
  ☆116Updated 6 years ago
• WeavingWong / DigiX_HuaWei_Population_Age_Attribution_Predict
  华为_DigiX_算法精英大赛——人口年龄属性预测_ Rank14 方案
  ☆31Updated 6 years ago
• xSupervisedLearning / Rong360_feature_mining_1st_solution
  ☆66Updated 6 years ago
• searchlink / wide_deep_model
  基于wide deep模型的CTR预估，从训练到部署
  ☆17Updated 6 years ago
• liuchenailq / zhihu-findexp
  2019年知乎看山杯专家发现算法大赛第六名完整解决方案
  ☆39Updated 5 years ago
• ChuanyuXue / CIKM-2019-AnalytiCup
  1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
  ☆234Updated last year
• YouChouNoBB / ijcai-17-top1-single-mole-solution
  IJCAI-17 top1 solution
  ☆65Updated 7 years ago
• RainFung / Tianchi-AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
  1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
  ☆188Updated 5 years ago
• peiss / ant-learn-recsys
  推荐系统从入门到实战
  ☆166Updated 3 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
• anzhizh / 2019-taida-jdata-top3
  ☆101Updated 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
• PandasCute / 2018-ORANGE-FINANCIAL-BIG-DATA-top9
  2018年甜橙金融杯大数据建模大赛-初赛第四-复赛线上11-决赛9-复现top1解决方案-【二分类，风控】
  ☆76Updated 5 years ago
• chantcalf / 2018-Rank4-
  快手活跃用户预测——lctry队解决方案
  ☆51Updated 7 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。
  ☆45Updated 5 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago
• chenkkkk / User-purchase-forecast
  招商银行信用卡中心校园大赛：消费金融场景下的用户购买预测 Rank 3rd
  ☆72Updated 7 years ago
• bits-bytes-nn / ctr_prediction
  Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad…
  ☆13Updated 5 years ago