2
I Use This!
Activity Not Available
Analyzed almost 4 years ago. based on code collected almost 7 years ago.

Project Summary

KolmoGNUS is a simple yet powerful cross-platform program which recommends links to the user based on his tastes. Links are taken from selected del.icio.us feeds, and user tastes are learned with a bayesian inference technique. The program comes with a simple TK interface for easy opening and rating of the links.

This simple concept allows to chose links based both on content and collaborative filtering. It quickly gives very good, personalized recommendations.

Tags

No tags have been added

In a Nutshell, KolmoGNUS...

This Project has No vulnerabilities Reported Against it

Did You Know...

  • ...
    Black Duck offers a free trial so you can discover if there are open source vulnerabilities in your code
  • ...
    learn about Open Hub updates and features on the Open Hub blog
  • ...
    55% of companies leverage OSS for production infrastructure
  • ...
    you can embed statistics from Open Hub on your site

Languages

Languages?height=75&width=75
Python
97%
4 Other
3%

30 Day Summary

Jun 20 2011 — Jul 20 2011

12 Month Summary

Jul 20 2010 — Jul 20 2011

Ratings

2 users rate this project:
5.0
 
5.0/5.0
Click to add your rating
   Spinner
Review this Project!