alipay / aes_msl_mtlLinks
☆19Updated 3 years ago
Alternatives and similar repositories for aes_msl_mtl
Users that are interested in aes_msl_mtl are comparing it to the libraries listed below
Sorting:
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 4 years ago
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆37Updated 2 years ago
- The code of CL4CTR☆48Updated 2 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆81Updated 2 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
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆139Updated 4 years ago
- ☆35Updated 3 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆119Updated 2 years ago
- DDPM☆15Updated 2 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆206Updated last year
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Updated 5 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 6 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆156Updated last year
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆36Updated 4 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆57Updated 3 years ago
- ☆61Updated last year
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- ☆31Updated 2 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- 利用图神经网络进行CTR预估☆15Updated 6 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- Resources for the paper "NPA: News Recommendation with Personalized Attention"☆48Updated 3 years ago
- ☆24Updated last year
- A box of core libraries for recommendation model development☆91Updated last year
- ☆66Updated 4 years ago
- ☆36Updated 5 years ago