UBlock vs. ABP: efficiency compared
Since deep learning is dominating the news these days, this might be the opportunity to point to the potential new ways of dealing with ad blocking. One is using character-based convolutional (or recurrent) networks that read the URL characters and classify it as legit or ad.The interesting gain here is that there's no more conflicting regex nor optimization to work on huge lists of blocking rules. Instead, URLs can be passed to the network in batches.I have conducted my own set of experiments and a usable deep model is available (see http://www.deepdetect.com/applications/text_model/ ).This is kinda shameful plug, but I'm really interested in feedback on these new ways of ad blocking with high accuracy.For sure running a deep net service is not as easy as installing ublock but there are ways. The whole source code is Open Source, as is the model. I have more data at hand, and some larger models could be built. Performance assessment would be a good next step as well.EDIT: the linked page is rather long, lookup 'Novel task' to get to a quick classification example