artem-oppermann / Deep-Autoencoders-For-Collaborative-FilteringLinks
Using Deep Autoencoders for predictions of movie ratings.
☆113Updated 2 years ago
Alternatives and similar repositories for Deep-Autoencoders-For-Collaborative-Filtering
Users that are interested in Deep-Autoencoders-For-Collaborative-Filtering are comparing it to the libraries listed below
Sorting:
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆74Updated 7 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆140Updated 6 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 6 years ago
- Using Keras to implement recommender systems☆325Updated 8 years ago
- ☆42Updated 9 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Updated 7 years ago
- ☆370Updated last year
- Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)☆285Updated 8 years ago
- Collaborative Denoising Auto-Encoder (CDAE)☆59Updated 9 years ago
- deep learning for recommender system☆44Updated 7 years ago
- Keras implementation of Tensorflow's Wide and Deep Algorithm☆161Updated 6 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated 2 years ago
- TensorFlow implemenation of GRu4Rec model☆219Updated 6 years ago
- Collaborative Memory Network for Recommendation Systems, SIGIR 2018☆179Updated 4 years ago
- Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018