a_macgregor

I would start to look for legal representation just in case this guy actually files a lawsuit.

But to be honest, crappy insecure site or not you went poking around and even created an extension that bypasses their (crappy) business model.

You made some poor decisions time to deal with the consequences, depending on the state/country he might or might not have a good claim against you.

Seek legal representation

----"Our discounts are meant to be one time only, but we can't limit them by customer so every order ends up sold 50% off. Said another way, for every additional $60 average order shipped our variable cost is $89 and we lose of $29. " ----

That's is incredibly odd they where using Magento, which does have the capability to limit promotions to be used once per customer.

*too expensive

No url ?

Sorry, but you do not have permission to view this content.

Reminds me a lot to pivotaltracker.com

How?

Well, my classifier works based on categories like ruby, programming, php, magento etc.

To train the classifier I grabbed feeds from different reddits and used that as a based data set. What you are trying to achieve sounds more like a recommendation engine rather than a classifier maybe recommendify might come handy https://github.com/paulasmuth/recommendify

You still can use the bayesian classifier, for training it I would recommend the supervised training route, basically start with a small dataset(100 records) and manually classify each of the training examples.

Also you should leave some sort of way to provide feedback to your classifier to improve the results and make corrections

Stavrosk,

If what you want is to only classify the stories in the front page and classify them based on a preset of categories, that's actually pretty simple to do.

I been working on a similar concept for personal project. Here are my recommendations:

- Be sure to remove stopwords from the titles before using the classifier. - The ankusa gem will help you greatly https://github.com/bmuller/ankusa

Ankusa is a naive bayesian text classifier that will come really handy for the task you are trying to achieve.

Also make sure your training data sets are pretty clean and with little overlapping as possible.

Finally have fun and let us knows how it goes!!

Cheers and let me know if you have more questions or if you want a hand coding this thing.

Unless you can offer any real alternatives to Magento I have to call bullshit, yes the framework is far from perfect and PHP is not the prettiest language.

But calling Magento "Java written in PHP" without offering alternatives, specific criticism or any backing of the argument is just childish.

a desk on the internet eh ? Sounds like an interesting concept, care to elaborate?

Is just me or there isn't a way to browse?

Interesting what has been your experience with meteor so far? are you enjoying the framework ?

I would be interested on a service like that

pivotaltracker.com google apps dropbox.com

Great job! really like the concept.

Could you give us a bit more details on the ML algorithm ? How is supposed to work and measure ?

Sure why not, I'm in :)

I'll start :)

http://cooperpress.com/ find all their newsletters to be quite useful

Hmm, found nothing in the article to really validate the claim that PHP developers should learn GO.

It might be a cool language, but the main reason php developers use PHP in the first place is Web Development; the article doesn't even mention the possibility of using GO for web development.

There aren't any code samples on the article either; why is GO so good ? what does the syntax looks like? Don't just tell, SHOW

I prefer to invest my time learning languages like ruby or python.

No, Apparently he bought all legally in several gun shops.

Depends, if they can offer the same amount of features and plugins than SublimeText2 then yes.

Seems really interesting, I'm just hoping we can get at least a little bit of the 'spirit' of the courier on the design of the Microsoft "surface"

Awesome