freegraphics / MIDS
Deep Learning Recommender System
☆54Updated 7 years ago
Related projects: ⓘ
- MXNet for CTR☆50Updated 7 years ago
- Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"☆29Updated 7 years ago
- https://www.kaggle.com/c/avito-context-ad-clicks/forums☆84Updated 9 years ago
- A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).☆61Updated 6 years ago
- A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.☆79Updated 6 years ago
- Deep Learning for Recommendation☆35Updated 7 years ago
- Online Random Bit Regression with FTRL-Proximal in Python☆75Updated 8 years ago
- ☆14Updated this week
- ☆62Updated 7 years ago
- Code for the 3rd place finish for Avazu Click-Through Rate Prediction☆87Updated 9 years ago
- Linear Recommender AAAI-16 code☆20Updated 6 years ago
- ☆108Updated 7 years ago
- 7th in a competition organised by ICT☆24Updated 8 years ago
- ☆26Updated 7 years ago
- fm model trained with sgd or adam accelerated by pypy☆24Updated 7 years ago
- RankNet on TensorFlow☆21Updated 6 years ago
- deepFM 実装☆14Updated 7 years ago
- Some experiments with recommendation systems☆28Updated 6 years ago
- ☆49Updated 6 years ago
- 3rd place solution for the Avito Context contest on kaggle.com☆29Updated 9 years ago
- parameter server for ML algs☆13Updated 10 years ago
- ☆20Updated this week
- Kaggle Avazu beat-the-benchmark model☆37Updated 9 years ago
- Notes on Logistic Regression and OWLQN☆26Updated 7 years ago
- items browsed in a session as a context are modeled to vec with bidirectional lstm☆18Updated 7 years ago
- Software for the kaggle criteo challenge☆52Updated 9 years ago
- libffm with ftrl updater☆93Updated 7 years ago
- A Tensorflow based implicit recommender system☆107Updated 4 years ago
- ☆29Updated 9 years ago
- ☆79Updated 7 years ago