michaelarman / Bayesian_A-B_testing
The intuitiveness of the Bayesian A/B testing should make it more ubiquitous in the data realm
☆11Updated 4 years ago
Alternatives and similar repositories for Bayesian_A-B_testing:
Users that are interested in Bayesian_A-B_testing are comparing it to the libraries listed below
- A simple package about multi-task recommendation☆17Updated 3 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 4 years ago
- Deep Learning Recommender System Study Notes☆13Updated 4 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测大赛，top50方案☆13Updated 6 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 5 years ago
- ☆17Updated 5 years ago
- Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型☆10Updated 4 years ago
- 京东JDATA2019-用户对品类下店铺的购买预测☆18Updated 5 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 8 months ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- Papers on Recommendation System and Computational Advertising System☆3Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 7 months ago
- 基于ESMM、MMoE和deepFM的多目标模型☆26Updated 3 years ago
- Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)☆51Updated 5 years ago
- Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire☆29Updated 2 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆55Updated 3 years ago
- Source code for AAAI2019 paper "Cash-out User Detection based on Attributed Heterogeneous Information Network with a Hierarchical Attenti…☆15Updated 6 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 5 years ago
- papers we read about Recommendation Advertising & Search☆31Updated 4 years ago
- Bytedance ICME2019☆12Updated 5 years ago
- Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆16Updated 5 years ago
- Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"☆14Updated 5 years ago
- paper collection for recommendation aspet☆37Updated 4 years ago
- 智源研究院-知乎看山杯2019 专家挖掘大赛（20th）☆11Updated 2 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 5 years ago
- PyTorch implementation of delayed-feedback-model (DFM)☆14Updated 3 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
- implementation of factorization machine, support classification.☆19Updated 6 years ago
- 基于side information版的 word2vec 《Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba》☆21Updated 4 years ago
- scalable Recommeder System for e-commerece using LightFM package in python☆47Updated 5 years ago