p768lwy3 / torecsys
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
☆104Updated 3 years ago
Alternatives and similar repositories for torecsys:
Users that are interested in torecsys are comparing it to the libraries listed below
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- Sequential deep matching model for recommender system at Alibaba☆206Updated 4 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆99Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- ☆81Updated 6 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆168Updated 3 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆147Updated 6 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆236Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 4 years ago
- ☆83Updated 5 years ago
- DHAN code for SIGIR 2020☆46Updated 4 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆131Updated 5 years ago
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆204Updated 5 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 3 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 5 years ago
- ☆61Updated 9 months ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 4 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆111Updated 4 years ago
- Collaborative Memory Network for Recommendation Systems, SIGIR 2018☆180Updated 3 years ago
- ☆172Updated 4 years ago
- ☆289Updated 5 years ago
- Sharing the CTR Prediction original paper and personal study notes☆146Updated 5 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago