rk2900 / deep-conv-attr
An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
☆61Updated 5 years ago
Alternatives and similar repositories for deep-conv-attr:
Users that are interested in deep-conv-attr 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
- A prototype implementation of ClusChurn based on PyTorch.☆52Updated 7 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆48Updated 7 years ago
- This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…☆89Updated 2 years ago
- Finding similar, high-valued users based on seed users. The model includes 1805 features using Hive HQL and AWS Redshift.☆33Updated 5 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
- Compute and plot NDCG for a recommender system☆96Updated 7 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 5 years ago
- Experiments on how to use machine learning to rank a product catalog☆84Updated 7 years ago
- ☆339Updated 7 months ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- ☆19Updated 6 years ago
- ☆34Updated 6 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…