jstol / neural-net-matrix-factorizationLinks
🎬🧠 Exploring neural networks (and variational inference) for collaborative filtering
☆35Updated 7 years ago
Alternatives and similar repositories for neural-net-matrix-factorization
Users that are interested in neural-net-matrix-factorization are comparing it to the libraries listed below
Sorting:
- Neural models for Collaborative Filtering☆127Updated 6 years ago
- Collaborative Denoising Auto-Encoder for Top-N Recommender Systems☆111Updated 9 years ago
- Toy implementation of SLIM and SSLIM Recommendation methods.☆42Updated 7 years ago
- ☆169Updated 7 years ago
- Exposure Matrix Factorization: modeling user exposure in recommendation☆96Updated 9 years ago
- A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).☆59Updated 7 years ago
- Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation☆68Updated 9 years ago
- Collaborative Denoising Auto-Encoder (CDAE)☆59Updated 9 years ago
- ☆42Updated 9 years ago
- Bayesian Personalized Ranking☆214Updated 9 years ago
- Factorization Machine, Deep Learning, Recommender System☆18Updated 7 years ago
- Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "☆138Updated 7 years ago
- Collaborative Deep Learning for Recommender Systems.☆72Updated 8 years ago
- Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆72Updated 4 years ago
- deep learning for recommender system☆44Updated 7 years ago
- Using theano to implement the Matrix Factorization with BPR ranking loss☆38Updated 9 years ago
- Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"☆39Updated 8 years ago
- A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.☆79Updated 7 years ago
- A Tensorflow based implicit recommender system☆107Updated 6 years ago
- Deep Learning for Recommendation☆34Updated 8 years ago
- Collaborative Deep Learning (CDL)☆58Updated 7 years ago
- CoFactor: Regularizing Matrix Factorization with Item Co-occurrence☆165Updated 8 years ago
- ☆53Updated 7 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆74Updated 7 years ago
- ☆74Updated 7 years ago
- PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)☆148Updated 6 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆248Updated 7 years ago
- Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems …☆56Updated 11 months ago
- CFRBM is a implementation of the RBM model to the collaborative filtering task☆40Updated 7 years ago
- ☆83Updated 6 years ago