Metadata-Version: 2.1
Name: deep-rec
Version: 0.0.0
Summary: PyTorch implementation of Deep Factorization Machine Models
Home-page: https://github.com/jaisenbe58r/deep-rec
Author: Jaime Sendra Berenguer
Author-email: jaimesendraberenguer@gmail.com
License: UNKNOWN
Description: # Factorization Machine models in PyTorch
          
        This package provides a PyTorch implementation of Deep Factorization Machine ;odels and common datasets in Retail Recommendation.
        
        
        ## Available Datasets
        
        * [Retail Case Study Data](https://www.kaggle.com/darpan25bajaj/retail-case-study-data/download)
        
        
        ## Available Models
        
        | Model | Reference |
        |-------|-----------|
        | DeepFM | [H Guo, et al. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, 2017.](https://arxiv.org/abs/1703.04247) |
        | xDeepFM | [J Lian, et al. xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems, 2018.](https://arxiv.org/abs/1803.05170) |
        
        
        ## Environment
        
            
            conda env create -f environment_conda.yml
            source activate environment_conda
            
        
        ## Installation
        
            pip install rec-deep
        
        
        ## API Documentation
        
        https://rixwew.github.io/rec-deep (en construcción)
        
        
        ## Licence
        
        MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
