fajieyuan / SIGIR2020_peterrec
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
☆202Updated 10 months ago
Alternatives and similar repositories for SIGIR2020_peterrec:
Users that are interested in SIGIR2020_peterrec are comparing it to the libraries listed below
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆285Updated 3 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☆112Updated 4 years ago
- Sequential deep matching model for recommender system at Alibaba☆202Updated 4 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
- 推荐系统修炼手册☆118Updated 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 4 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆215Updated 3 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆183Updated 3 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆234Updated 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
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- ☆61Updated 6 months ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆109Updated last year
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆72Updated 5 years ago
- ☆285Updated 5 years ago
- ☆171Updated 4 years ago
- Generative model for sequential recommendation based on Convolution Neural Networks (CNN))☆110Updated 10 months ago
- ☆61Updated 3 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 4 years ago
- Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation（CIKM20）☆70Updated 4 years ago
- Dynamic Fair Rankings☆85Updated last year
- Deep-Learning based CTR models implemented by PyTorch☆250Updated 3 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆241Updated 2 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆148Updated 5 years ago
- Hierarchical Gating Networks for Sequential Recommendation☆140Updated 3 years ago
- ☆73Updated 5 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆437Updated last year
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆77Updated 4 years ago