zyhfjx2019 / drr
code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"
☆31Updated 3 years ago
Alternatives and similar repositories for drr:
Users that are interested in drr are comparing it to the libraries listed below
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆136Updated 2 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
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- Sequential deep matching model for recommender system at Alibaba☆206Updated 4 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆218Updated 3 years ago
- ☆63Updated 4 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
- ☆61Updated 9 months ago
- ☆289Updated 5 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆44Updated last year
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 3 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆112Updated last year
- ☆81Updated 6 years ago
- Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations☆50Updated 3 months ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- DHAN code for SIGIR 2020☆46Updated 4 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆236Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- ☆172Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆294Updated 3 years ago
- ☆35Updated 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…☆104Updated 3 years ago
- Sharing the CTR Prediction original paper and personal study notes☆146Updated 5 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆77Updated last year
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 4 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- Basic Deep Learning☆36Updated 6 years ago