https://github.com/GHamrouni/Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF)
https://github.com/GHamrouni/Recommender

c collaborative-filtering machine-learning recommendation-engine

Last synced: 8 months ago
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A C library for product recommendations/suggestions using collaborative filtering (CF)

• Host: GitHub
• URL: https://github.com/GHamrouni/Recommender
• Owner: GHamrouni
• License: bsd-2-clause
• Created: 2012-01-04T10:40:16.000Z (almost 14 years ago)
• Default Branch: master
• Last Pushed: 2022-07-19T15:21:25.000Z (over 3 years ago)
• Last Synced: 2024-07-31T18:17:11.242Z (over 1 year ago)
• Topics: c, collaborative-filtering, machine-learning, recommendation-engine
• Language: C
• Homepage:
• Size: 75.2 MB
• Stars: 264
• Watchers: 31
• Forks: 64
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          
Recommender [![Build Status](https://secure.travis-ci.org/GHamrouni/Recommender.png)](http://travis-ci.org/GHamrouni/Recommender)

=======================

[![GitHub stars](https://img.shields.io/github/stars/GHamrouni/Recommender.svg)](https://github.com/GHamrouni/Recommender/stargazers)

[![GitHub license](https://img.shields.io/github/license/GHamrouni/Recommender.svg)](https://github.com/GHamrouni/Recommender/blob/master/LICENSE)

[![Language grade: C/C++](https://img.shields.io/lgtm/grade/cpp/g/GHamrouni/Recommender.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/GHamrouni/Recommender/context:cpp)

A C library for product recommendations/suggestions using collaborative filtering (CF).

Recommender analyzes the feedback of some users (implicit and explicit) and their 

preferences for some items. It learns patterns and predicts the most suitable products 

for a particular user.

Features

--------

 * Collaborative Filtering

 * User and Item based recommenders

 * No external dependencies 

 * Fast running time ~ 81 seconds for 10 million ratings (on MovieLens Data Sets)

 * Memory footprint under 160 MB for 10 million ratings

Webpage

--------

http://ghamrouni.github.com/Recommender/

Building

--------

To compile Recommender:

    make

The compilation will produce libRecommender.a

To compile an example:

    gcc test/test.c src/libRecommender.a -lm -o test/t1 -I src/

Alternatively you can use clang

    clang test/test.c src/libRecommender.a -lm -o test/t1 -I src/

Keywords

--------

Collaborative filtering, recommender system

References

--------

1. http://en.wikipedia.org/wiki/Recommendation_system

1. http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf

1. http://research.yahoo.com/files/ieeecomputer.pdf