fuxiAIlab / perCLTVLinks
【TOIS2023】perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games
☆11Updated 2 years ago
Alternatives and similar repositories for perCLTV
Users that are interested in perCLTV are comparing it to the libraries listed below
Sorting:
- ☆33Updated last year
- ☆11Updated 3 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Updated 3 years ago
- 🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】☆150Updated 2 years ago
- Dataset Batch(offline) Reinforcement Learning for recommender system☆153Updated 5 years ago
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆72Updated 5 years ago
- ☆15Updated 6 years ago
- ☆28Updated last year
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆99Updated 4 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆57Updated 3 years ago
- This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"☆79Updated 2 years ago
- ☆120Updated last year
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆73Updated 5 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆49Updated 7 years ago
- Field-aware factorization machine (FFM) with FTRL☆47Updated 2 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 3 years ago
- Source code of CIKM 2022 and DLP-KDD workshop 2022 Best Paper: IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-rankin…☆71Updated 2 years ago
- Reinforcement Learning for Uplift Modeling☆13Updated 4 years ago
- ☆12Updated 3 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆189Updated last month
- Pytorch implementation of "Behaviour Sequence Transformer for E-commerce Recommendation" as a seq2seq predictor.☆23Updated 4 years ago
- ☆38Updated 3 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)☆38Updated 2 years ago
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆58Updated 4 years ago
- A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm☆27Updated 4 years ago
- About uplift modeling☆30Updated 9 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆114Updated last month
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆19Updated 3 years ago
- Recommender system based on Flink and Reinforcement Learning☆108Updated 5 years ago