gasevi / pyreclabLinks
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis La…
☆122Updated 4 years ago
Alternatives and similar repositories for pyreclab
Users that are interested in pyreclab are comparing it to the libraries listed below
Sorting:
- Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf☆160Updated 10 years ago
- Solution of RecSys Challenge 2015☆91Updated 8 years ago
- Bayesian Personalized Ranking☆213Updated 9 years ago
- ☆77Updated 7 years ago
- A Tensorflow based implicit recommender system☆108Updated 5 years ago
- pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM☆253Updated 6 years ago
- Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018☆343Updated 4 years ago
- ☆169Updated 7 years ago
- Neural models for Collaborative Filtering☆127Updated 6 years ago
- A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).☆60Updated 6 years ago
- Toy implementation of SLIM and SSLIM Recommendation methods.☆42Updated 7 years ago
- CoFactor: Regularizing Matrix Factorization with Item Co-occurrence☆164Updated 7 years ago
- Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…☆147Updated 9 years ago
- An implementation of Bayesian Personalised Ranking in Theano☆57Updated 10 years ago
- Bayesian Personalized Ranking for Spark☆40Updated 7 years ago
- Neural network recommendation models in PyTorch☆58Updated 7 years ago
- Collaborative Deep Learning for Recommender Systems.☆72Updated 8 years ago
- FluRS: A Python library for streaming recommendation algorithms☆109Updated 3 years ago
- ☆40Updated 7 years ago
- Deep NNs for recommendations☆39Updated 9 years ago
- A recommender systems development and evaluation package by Mendeley☆568Updated 2 years ago
- Weighted matrix factorization in Python☆71Updated 10 years ago
- Exposure Matrix Factorization: modeling user exposure in recommendation☆97Updated 9 years ago
- Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation☆68Updated 9 years ago
- Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)☆60Updated 6 years ago
- ☆42Updated 9 years ago
- ☆20Updated 8 years ago
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆230Updated 9 years ago
- Collaborative Denoising Auto-Encoder for Top-N Recommender Systems☆111Updated 9 years ago
- CofiRank☆57Updated 12 years ago