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Collaborative filtering recommender system

Project 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
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Released under the MIT License


References
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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)

Release history Release notifications

This version
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0.0.3

History Node

0.0.2

History Node

0.0.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
pyrecsys-0.0.3.tar.gz (6.8 kB) Copy SHA256 hash SHA256 Source None Nov 1, 2016

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