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
• tangrizzly / 3RecommendationSystemAlgorithms
  SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset
  ☆51Updated 7 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 …
  ☆73Updated 7 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 4 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• HanXiaoyang / pyspark-recommendation-demo
  movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
  ☆95Updated 9 years ago
• irmowan / Collaborative-Filtering
  Recommendation System using Collaborative Filtering
  ☆16Updated 9 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆103Updated 2 years ago
• batch-norm / xDeepFM
  xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  ☆129Updated 6 years ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated 2 years ago
• wangkobe88 / Earth
  ☆27Updated 8 years ago
• shenweichen / ctrip14
  科赛 携程出行产品未来14个月销量预测 第2名
  ☆62Updated 8 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…
  ☆93Updated 5 years ago
• yxtay / recommender-tensorflow
  Recommendation Models in TensorFlow
  ☆47Updated 6 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
• vinklibrary / jdata_code
  用户对品类下店铺的购买预测
  ☆27Updated 6 years ago
• revantkumar / Collaborative-Filtering
  Implemented Item, User and Hybrid based Collaborative Filtering
  ☆159Updated 10 years ago
• SongDark / libffm_converter
  ☆17Updated 7 years ago
• skywaLKer518 / A-Recsys
  A Tensorflow based implicit recommender system
  ☆107Updated 5 years ago
• prateekjoshi565 / recommendation_system
  ☆63Updated 3 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 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
  ☆58Updated 6 years ago
• out-to-right / --DataCastle
  基于用户行为的推荐算法大赛---第四名（临兵斗列）
  ☆41Updated 9 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 this week
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆106Updated 3 years ago
• LenzDu / Kaggle-Competition-Sberbank
  Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-…
  ☆34Updated 8 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 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
• jrzaurin / Wide-and-Deep-Keras
  Keras implementation of Tensorflow's Wide and Deep Algorithm
  ☆161Updated 6 years ago