jinze1994 / ATRankLinks
An Attention-Based User Behavior Modeling Framework for Recommendation
☆363Updated 4 years ago
Alternatives and similar repositories for ATRank
Users that are interested in ATRank are comparing it to the libraries listed below
Sorting:
- TensorFlow Implementation of Attentional Factorization Machine☆407Updated 7 years ago
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- TenforFlow Implementation of Neural Factorization Machine☆471Updated 5 years ago
- ☆289Updated 5 years ago
- Some deep learning based recsys for open learning.☆399Updated 7 years ago
- TensorFlow implemenation of GRu4Rec model☆218Updated 6 years ago
- Collaborative Memory Network for Recommendation Systems, SIGIR 2018☆180Updated 4 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Updated 5 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆445Updated 2 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆148Updated 6 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆168Updated 3 years ago
- ☆749Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆220Updated 3 years ago
- This is our implementation of DeepCoNN☆152Updated 7 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆295Updated 3 years ago
- ☆61Updated last year
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- code of paper `Deep Neural Networks for Youtube Recommendation`☆408Updated 8 years ago
- Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distribut…☆375Updated 5 years ago
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆204Updated 5 years ago
- Implementation of the "Deep Matrix Factorization Models for Recommender Systems"☆209Updated 7 years ago
- Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)☆284Updated 8 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 for Interaction-aware factorization machines☆50Updated 5 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 5 years ago
- Adversarial Learning, Matrix Factorization, Recommendation☆216Updated 6 years ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆290Updated 3 years ago
- Factorization Machines implementation with Tensorflow☆143Updated 6 years ago
- Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"☆150Updated 6 years ago