ARASC / papers
papers we read about Recommendation Advertising & Search
☆31Updated 4 years ago
Alternatives and similar repositories for papers:
Users that are interested in papers are comparing it to the libraries listed below
- paper collection for recommendation aspet☆37Updated 4 years ago
- DHAN code for SIGIR 2020☆46Updated 4 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 4 years ago
- ☆62Updated 5 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 4 years ago
- implementation of factorization machine, support classification.☆20Updated 6 years ago
- Deep neural network model based on the tree☆48Updated 6 years ago
- IJCAI-18 阿里妈 妈搜索广告转化预测总结☆21Updated 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
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆104Updated 3 years ago
- Deep Pray(深度祈祷): LEGO for deep learning, Making AI easier, faster and cheaper👻☆42Updated last year
- ☆83Updated 5 years ago
- Tensorflow implementation for Interaction-aware factorization machines☆50Updated 5 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- it's the realization of Tree-based Deep Model with tensorflow☆32Updated 5 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 10 months ago
- ☆52Updated 4 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆63Updated 4 years ago
- ☆40Updated 4 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 5 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 3 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆110Updated 3 years ago
- 算法相关的各种论文和slides☆42Updated 6 years ago
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13☆65Updated 4 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆130Updated 5 years ago