fajieyuan / SIGIR2020_peterrecLinks
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
☆204Updated last year
Alternatives and similar repositories for SIGIR2020_peterrec
Users that are interested in SIGIR2020_peterrec are comparing it to the libraries listed below
Sorting:
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆294Updated 3 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆112Updated last year
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Updated 4 years ago
- Sequential deep matching model for recommender system at Alibaba☆207Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆217Updated 3 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
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Updated 5 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 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 for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- ☆289Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- 推荐系统修炼手册☆117Updated 2 years ago
- ☆63Updated 4 years ago
- ☆61Updated 10 months ago
- ☆172Updated 4 years ago
- KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation☆190Updated 2 years ago
- Deep-Learning based CTR models implemented by PyTorch☆252Updated 4 years ago
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 4 years ago
- Generative model for sequential recommendation based on Convolution Neural Networks (CNN))☆112Updated last year
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆77Updated last year
- Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation(CIKM20)☆70Updated 4 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆375Updated 6 months ago
- Hierarchical Gating Networks for Sequential Recommendation☆140Updated 3 years ago
- ☆133Updated 7 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 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…☆250Updated 3 years ago
- Dynamic Fair Rankings☆87Updated 2 years ago