Alternatives and similar repositories for jd-mta:

Users that are interested in jd-mta are comparing it to the libraries listed below

• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆32Updated 3 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 7 months 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 4 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 4 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated last year
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆113Updated 3 years ago
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆52Updated 2 years ago
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆30Updated 6 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 5 years ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆24Updated 2 years ago
• maciejkula / explicit-vs-implicit
  An experiment on explicit vs implicit feedback recommenders
  ☆25Updated 7 years ago
• rayshi14 / HybridLinUCB-python
  Hybrid Linear UCB bandit learning algorithm L Li(2010) python code
  ☆56Updated 9 years ago
• google / empirical_calibration
  ☆44Updated 10 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 11 months ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆48Updated 7 years ago
• beechung / Latent-Factor-Models
  R functions for fitting latent factor models with internal computation in C/C++
  ☆123Updated 7 years ago
• google / MAB
  R package for Multi-Armed Bandit Simulation Study
  ☆37Updated 7 years ago
• jdcomsearch / jd-pretrain-data
  An open-source dataset for e-commerce user intent detection and embedding retrieval
  ☆23Updated 2 years ago
• spotify-research / RIPS_KDD2020
  ☆17Updated 4 years ago
• Nth-iteration-labs / contextual
  Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
  ☆79Updated 4 years ago
• fabiopetroni / libfm_with_BPR
  ☆20Updated 8 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated last year
• MrChrisJohnson / logistic-mf
  Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf
  ☆160Updated 10 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