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
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 6 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
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆87Updated 6 years ago
• Willofd101 / ziln_cltv
  A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
  ☆27Updated last year
• 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
• 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
• wnzhang / rtbcontrol
  A feedback controller for stabilizing RTB performance to a target value.
  ☆69Updated 9 years ago
• 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
• 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
• logicai-io / recsys2019
  ☆95Updated last year
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 6 years ago
• ctjoy / item2vec
  Implement item2vec algorithm
  ☆76Updated 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
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• cyhong549 / DeepFM-Keras
  ☆29Updated 7 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.
  ☆39Updated 5 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 6 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• psarka / uplift
  ☆34Updated 6 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆141Updated last year
• yxtay / recommender-tensorflow
  Recommendation Models in TensorFlow
  ☆46Updated 6 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 7 years ago
• CuteChibiko / TalkingData
  TalkingData AdTracking Fraud Detection Challenge
  ☆104Updated 7 years ago
• hibayesian / spark-fm
  A parallel implementation of factorization machines based on Spark
  ☆74Updated 4 years ago
• liyinxiao / Ranking_Papers
  Papers on recommendation system / search ranking.
  ☆43Updated last month
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 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