WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
Accelerating Inference for Recommendation Systems (WSDM'21)
☆112Updated 4 years ago
Alternatives and similar repositories for DeepLight_Deep-Lightweight-Feature-Interactions:
Users that are interested in DeepLight_Deep-Lightweight-Feature-Interactions are comparing it to the libraries listed below
- ☆81Updated 6 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years 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 …☆110Updated 4 years ago
- 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
- ☆40Updated 4 years ago
- A PyTorch implementation of Ranking Distillation☆88Updated 4 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆98Updated 4 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- Hierarchical Gating Networks for Sequential Recommendation☆140Updated 3 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- Sequential deep matching model for recommender system at Alibaba☆204Updated 4 years ago
- ☆61Updated 7 months ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- ☆61Updated 3 years ago
- ☆287Updated 5 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated 10 months ago
- ☆83Updated 5 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆71Updated 5 years ago
- ☆178Updated 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
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆203Updated 5 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆270Updated 4 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆202Updated last year
- A box of core libraries for recommendation model development☆91Updated 5 months ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆124Updated 4 years ago
- DHAN code for SIGIR 2020☆46Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆113Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆290Updated 3 years ago