1
I Use This!
Inactive
Analyzed about 18 hours ago. based on code collected about 18 hours ago.

Project Summary

Winnow efficiently trains and operates any number of unique Naive Bayes classifiers on large sets of content. Written in C, runs on any Unix, very high performance, works with very small
training and unbalanced training sets. Winnow powers http://winnowtag.org, an innovative web feed reader that uses smart tags that learn and find the content you want to see, from more sources than you can follow with traditional feed readers. Subscribe, create, and share tags. Add feeds, import feed lists, publish tags as feeds. http://winnowtag.org shows Winnow’s accuracy and performance searching over 3/4 million items updated daily from 8,000 feeds. Winnow works particularly well with Ruby and Ruby on Rails.

Tags

bayes bayesian bayesianfiltering c recommender recommendersystem textmining

In a Nutshell, Winnow content recommendation engine...

Quick Reference

MIT License
Permitted

Sub-License

Private Use

Commercial Use

Modify

Distribute

Forbidden

Hold Liable

Required

Include Copyright

Include License

These details are provided for information only. No information here is legal advice and should not be used as such.

All Licenses

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
  • ...
    data presented on the Open Hub is available through our API
  • ...
    55% of companies leverage OSS for production infrastructure
  • ...
    learn about Open Hub updates and features on the Open Hub blog

Languages

Languages?height=75&width=75
XML
46%
C
45%
Ruby
6%
4 Other
3%

30 Day Summary

Aug 23 2018 — Sep 22 2018

12 Month Summary

Sep 22 2017 — Sep 22 2018

Ratings

1 user rates this project:
5.0
 
5.0/5.0
Click to add your rating
   Spinner
Review this Project!