bigdata-ustc / XCrossNet
☆12Updated last year
Alternatives and similar repositories for XCrossNet:
Users that are interested in XCrossNet are comparing it to the libraries listed below
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆103Updated 2 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆71Updated 5 years ago
- TensorFlow implementation of GradNorm☆40Updated 2 years ago
- ☆34Updated 2 years ago
- ☆40Updated 4 years ago
- 利用图神经网络进行CTR预估☆15Updated 5 years ago
- DHAN code for SIGIR 2020☆46Updated 4 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated 11 months ago
- ☆10Updated 4 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 4 years ago
- ☆44Updated 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
- Code based in TensorFlow☆50Updated 5 years ago
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018☆76Updated 5 years ago
- ☆31Updated last year
- ☆73Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆51Updated 6 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆63Updated 4 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated last year
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- ☆81Updated 6 years ago
- ☆24Updated 4 years ago
- Sequential User-based Recurrent Neural Network Recommendations☆9Updated 6 years ago
- Tensorflow implementation for Interaction-aware factorization machines☆50Updated 5 years ago
- About Next Basket Recommendations Based on Neural Network.☆48Updated 4 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 6 years ago
- ☆62Updated 4 years ago
- some papers about the recommender system☆22Updated 6 years ago