Alternatives and similar repositories for Lookalike-Model

Users that are interested in Lookalike-Model are comparing it to the libraries listed below

• nikhitmago / lookalike-modelling
  Finding customer lookalikes using Machine Learning in PySpark
  ☆33Updated 6 years ago
• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆40Updated 5 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 6 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 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
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 6 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
• rk2900 / DLF
  Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…
  ☆72Updated 4 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆177Updated 6 months ago
• nxs5899 / Recommender-System-LightFM
  scalable Recommeder System for e-commerece using LightFM package in python
  ☆47Updated 6 years ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• logicai-io / recsys2019
  ☆95Updated last year
• Willofd101 / ziln_cltv
  A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
  ☆29Updated last year
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 6 years ago
• paxcema / KerasGRU4Rec
  Keras implementation of GRU4Rec session-based recommender system
  ☆106Updated 11 months ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 3 years ago
• cdj0311 / two_tower_recommendation_system
  A two tower recommendation system implementation with tensorflow estimator, for CTR or Recall.
  ☆76Updated 3 years ago
• HaoYang0123 / DESC
  ☆15Updated last year
• artmoskvin / real-time-recommender
  Real-time collaborative filtering recommender system
  ☆50Updated 5 years ago
• prateekjoshi565 / recommendation_system
  ☆63Updated 3 years ago
• ir-uam / EnsembleBandits
  Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"
  ☆14Updated 5 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆75Updated last year
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• hibayesian / spark-fm
  A parallel implementation of factorization machines based on Spark
  ☆74Updated 5 years ago
• DSE-capstone-sharknado / tf-bpr
  Amazon Recommendation System build on BPR TensorFlow implementation
  ☆16Updated 8 years ago
• psarka / uplift
  ☆34Updated 6 years ago
• ncu-dart / behavior2vec
  ☆20Updated 6 years ago
• rk2900 / bidding-machine
  An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
  ☆59Updated 7 years ago