jd-ads-data / jd-mta
Multi Touch Attribution: Simulation Code
☆15Updated 5 years ago
Alternatives and similar repositories for jd-mta:
Users that are interested in jd-mta are comparing it to the libraries listed below
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 4 years ago
- Multi-Touch Attribution☆116Updated 3 years ago
- 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
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆68Updated last week
- A prototype implementation of ClusChurn based on PyTorch.☆52Updated 7 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated last year
- Predict and recommend the news articles, user is most likely to click in real time.☆30Updated 7 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 5 years ago
- ☆20Updated 8 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- ☆15Updated 5 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- ☆27Updated 9 years ago
- Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data"☆41Updated 6 years ago
- ☆34Updated 6 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆71Updated 4 years ago
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆72Updated 4 years ago
- Multi Channel Attribution☆10Updated 8 years ago
- Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"☆14Updated 5 years ago
- ☆17Updated 4 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆48Updated 7 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆54Updated 3 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- ☆40Updated 7 years ago
- Fit Sparse Synthetic Control Models in Python☆82Updated last year
- ☆17Updated 5 years ago
- Toy implementation of SLIM and SSLIM Recommendation methods.☆42Updated 6 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 6 years ago
- Hybrid Linear UCB bandit learning algorithm L Li(2010) python code☆56Updated 9 years ago