yahoo / FmFM
☆40Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for FmFM
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆77Updated 3 years ago
- ☆59Updated 3 years ago
- DHAN code for SIGIR 2020☆47Updated 4 years ago
- ☆35Updated 4 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆57Updated 4 years ago
- ☆24Updated 3 years ago
- Deep Feedback Network for Recommendation☆93Updated 4 years ago
- ☆61Updated 3 months ago
- ☆31Updated last year
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 3 years ago
- ☆32Updated 2 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆53Updated 2 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆109Updated 3 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆78Updated 4 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆42Updated last year
- ☆24Updated 7 months ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆63Updated 4 years ago
- ☆81Updated 5 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 5 years ago
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 2 years ago
- This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …☆24Updated 2 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆97Updated 4 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
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆101Updated 2 years ago
- 利用图神经网络进行CTR预估☆15Updated 4 years ago
- ☆70Updated 4 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- The code of CL4CTR☆48Updated last year
- Dynamic Fair Rankings☆86Updated last year
- Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".☆48Updated 4 years ago