Metadata-Version: 1.0
Name: pyrecsys
Version: 0.0.3
Summary: Collaborative filtering recommender system
Home-page: https://github.com/vlarine/pyrecsys
Author: Vladimir Larin
Author-email: vladimir@vlarine.ru
License: MIT
Description: PyRecSys
        =======
        
        Python Collaborative Filtering
        
        Overview
        --------
        
        
        Features
        --------
        
        
        Installation
        ------------
        
        To install from [PyPI](https://pypi.python.org/pypi/recsys/), use pip:
        
            $ pip install recsys
        
        Or clone the repo:
        
            $ git clone https://github.com/vlarine/pyrecsys.git
            $ cd pyrecsys
            $ pip install -r requirements.txt
            $ pip install .
        
        
        Getting Started
        ---------------
        
        
        License
        -------
        
        Released under the MIT License
        
        
        References
        ----------
        
        Collaborative Filtering for Implicit Feedback Datasets.
        Yifan Hu. AT&T Labs – Research. Florham Park, NJ 07932.
        Yehuda Koren. Yahoo! Research.
        [http://yifanhu.net/PUB/cf.pdf](http://yifanhu.net/PUB/cf.pdf)
        
        Ben Frederickson. Fast Python Collaborative Filtering
        for Implicit Datasets.
        [https://github.com/benfred/implicit](https://github.com/benfred/implicit)
        
        Evgeny Frolov, Ivan Oseledets. Fifty Shades of Ratings: How to Benefit
        from a Negative Feedback in Top-N Recommendations Tasks.
        [https://arxiv.org/abs/1607.04228](https://arxiv.org/abs/1607.04228)
        [https://github.com/Evfro/polara](https://github.com/Evfro/polara)
        
Platform: UNKNOWN
