RUCAIBox / RSPapersLinks
Must-read papers on Recommender System. 推荐系统相关论文整理(内含40篇论文,并持续更新中)
☆91Updated 6 years ago
Alternatives and similar repositories for RSPapers
Users that are interested in RSPapers are comparing it to the libraries listed below
Sorting:
- KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation☆188Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆298Updated 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 5 years ago
- 推荐系统修炼手册☆117Updated 3 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- Attentive Group Recommendation☆135Updated 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
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- Paper and notes of Recommender systems.☆37Updated 5 years ago
- The codes of Neural News Recommendation with Attentive Multi-view Learning☆58Updated 4 years ago
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆118Updated last year
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆206Updated last year
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- A Toolkit for Neural Review-based Recommendation models with Pytorch.☆175Updated 3 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- ☆74Updated 5 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- ☆61Updated last year
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- 利用图神经网络进行CTR预估☆15Updated 5 years ago
- Paper list of NLP for recommender systems☆228Updated 5 years ago
- Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"☆127Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆223Updated 4 years ago
- Hierarchical User Profiling for E-commerce RecommenderSystems, WSDM 2020☆47Updated 4 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆258Updated 5 years ago
- Resources for the paper "NPA: News Recommendation with Personalized Attention"☆48Updated 3 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
- ☆133Updated 7 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆45Updated 2 years ago