[a_macgregor]

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]

Yeah, I'll have upvotes and downvotes to tell it what I liked or didn't. Unfortunately, I can't see a way to do this without supervised learning (maybe semi-supervised would work), which is why I posted here for ideas (I want to avoid the costly supervision step if someone knows the result won't work).

Thanks for your comments, they help a lot.