THUDM / ComiRecLinks
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
☆296Updated 3 years ago
Alternatives and similar repositories for ComiRec
Users that are interested in ComiRec are comparing it to the libraries listed below
Sorting:
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆220Updated 4 years ago
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆446Updated 2 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆101Updated 5 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆115Updated last year
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆205Updated last year
- ☆289Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- Deep-Learning based CTR models implemented by PyTorch☆254Updated 4 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆397Updated 4 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆258Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Updated 5 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆377Updated 9 months ago
- ☆61Updated last year
- An Attention-Based User Behavior Modeling Framework for Recommendation☆364Updated 4 years ago
- A Toolkit for Neural Review-based Recommendation models with Pytorch.☆172Updated 3 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆260Updated 4 years ago
- ☆407Updated 5 months ago
- Deep Feedback Network for Recommendation☆95Updated 4 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆271Updated 4 years ago
- ☆133Updated 7 years ago
- Recommender Systems Paperlist that I am interested in☆449Updated 4 years ago
- 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）☆90Updated 5 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…☆260Updated 3 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆80Updated last year
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 5 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