gennadylaptev / FM_in_PyTorchLinks
My implementation of Factorization Machine in PyTorch.
☆18Updated 6 years ago
Alternatives and similar repositories for FM_in_PyTorch
Users that are interested in FM_in_PyTorch are comparing it to the libraries listed below
Sorting:
- KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation☆189Updated 3 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- Must-read papers on Recommender System. 推荐 系统相关论文整理（内含40篇论文，并持续更新中）☆90Updated 5 years ago
- ☆34Updated 2 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated last year
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆138Updated 4 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆101Updated 5 years ago
- Deep Feedback Network for Recommendation☆96Updated 4 years ago
- Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”☆16Updated 4 years ago
- 6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System☆164Updated last year
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated last year
- Codes for TPM, a tree based model for watch time prediction☆23Updated 2 years ago
- Paper and notes of Recommender systems.☆37Updated 5 years ago
- A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.☆38Updated 6 years ago
- ☆52Updated 5 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆116Updated last year
- Solution to the Debiasing Track of KDD CUP 2020☆160Updated 2 years ago
- ☆105Updated 2 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆205Updated last year
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆296Updated 3 years ago
- 利用图神经网络进行CTR预估☆15Updated 5 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- The codes of Neural News Recommendation with Attentive Multi-view Learning☆58Updated 4 years ago
- Attentive Group Recommendation☆134Updated 4 years ago
- ☆61Updated last year
- A toy implementation of Neural Graph Collaborative filtering☆87Updated 5 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"☆127Updated 5 years ago