1 Topic by conner_bw

  • conner_bw
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Topic: sux0r 2.0 _Beta1

I'm running this of a $9.99/Month shared server so please have patience if things are slow. Or better yet, download and install sux0r on your machine and give me some feedback.

http://www.sux0r.org/
http://sourceforge.net/projects/sux0r/

Built with htmLawed!

Short story long mullet, I quit my job in April and have been working on this project every day up until now. It's an extensible content management system (CMS) built around the principles of Naive Bayesian probabilistic content. Wait, is that recursive or run-on? Bah...

In addition to being a blog, RSS aggregator, bookmark repository, photo publishing platform, and OpenID 1.1 client/server... sux0r 2.0 allows users to maintain multiple lists of Naive Bayesian categories. These category lists (i.e vectors) can be shared with other users. Thus allowing groups to share, train, and use sux0r together.

Dunno where this is going, I need to take a day or two to hype and decompress. Not even sure if my description of the project is coherent.

Naive Bayesian is like a fuzzy logic tagging system.

sux0r will one day, hopefully, allow several nodes to act like a social network without having to consolidate into a single provider. And Naive Bayesian content filtering will allow for intelligent partitioning of information.

But for now I'm celebrating by spreading the news and drinking at home, alone. I guess tomorrow I look for a new job.

Chanks.

2 Reply by patnaik

  • patnaik
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Re: sux0r 2.0 _Beta1

The Bayesian logic makes this interesting. I look forward to more documentation/FAQs, with examples, which I am sure you are going to put up soon. Wishing Sux0r active interest and participation...

3 Reply by conner_bw

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Re: sux0r 2.0 _Beta1

Hey, thanks!

The easiest way to get started is to:

1) create a profile
2) login
3) go to your profile page
4) click "Edit Bayes"
5) set up a few category lists / vectors

Once you have a list with more than two items, then Blog, Feed, and Bookmarks will reveal the Naive Bayesian interface. There's no filtering in the Photos module yet. Not enough text to justify it.

I'll try to make a YouTube video showing a few of the features soon. I will also write some documentation. Technical writing is not my forté. Contributions in this department are very welcome.