Alternatives and similar repositories for Recommender-System-LightFM

Users that are interested in Recommender-System-LightFM are comparing it to the libraries listed below

• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 6 years ago
• colby-j-wise / Deep_Learning_Recommender_System
  Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python
  ☆51Updated 7 years ago
• prateekjoshi565 / recommendation_system
  ☆63Updated 3 years ago
• xiaoouzhang / Collaborative-Deep-Learning-for-Recommender-Systems
  The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …
  ☆72Updated 6 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• tangrizzly / 3RecommendationSystemAlgorithms
  SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset
  ☆51Updated 7 years ago
• yxtay / recommender-tensorflow
  Recommendation Models in TensorFlow
  ☆46Updated 6 years ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated 2 years ago
• CuteChibiko / TalkingData
  TalkingData AdTracking Fraud Detection Challenge
  ☆104Updated 7 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 3 years ago
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 6 years ago
• Eleanoryuyuyu / RecommendRelative
  推荐系统相关模型 包括召回和排序
  ☆30Updated 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
• ctjoy / item2vec
  Implement item2vec algorithm
  ☆76Updated 6 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
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆101Updated 7 years ago
• daicoolb / PHDMF
  This is a new deep learning model for recommender system, which we called PHD
  ☆32Updated 6 years ago
• PnYuan / Practice-of-Machine-Learning
  code of scattered practices when studying "machine-learning".
  ☆91Updated 5 years ago
• vinklibrary / jdata_code
  用户对品类下店铺的购买预测
  ☆26Updated 6 years ago
• cstur4 / interaction-aware-factorization-machines
  Tensorflow implementation for Interaction-aware factorization machines
  ☆50Updated 5 years ago
• HanXiaoyang / pyspark-recommendation-demo
  movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
  ☆95Updated 8 years ago
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆104Updated 3 years ago
• ivanliu1989 / AVAZU-CTR-Prediction
  In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…
  ☆31Updated 5 years ago
• zhyfzy / Tantan-Recommendation-Diversity
  探探项目 - 提升推荐系统的推荐多样性
  ☆31Updated 7 years ago
• WindQAQ / tf-recsys
  tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow…
  ☆94Updated 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
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• Tristan-Chow / Recommendation-System-based-on-TensorFlow
  Neural candidates generation network based on Youtube reommender paper
  ☆21Updated 6 years ago
• cyhong549 / DeepFM-Keras
  ☆29Updated 7 years ago
• linzh92 / DeepICF
  TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
  ☆100Updated 2 years ago