filtering

Most customers wanted some kind of spam filtering, even using the very tight definition of Breidbart Index.

And still, www forums lack the most basic filtering and killfile capabilities that a usenet reader had 20 years ago.

To prevent the spoofed reflection attacks, all network operators should implement anti-spoof address filtering [RFC2827].

This makes filtering mail from specific sites pretty easy if there isn't already an easy way to do so for that site.

It's a neat approach for filtering the noise and providing a strong signal.

With identification the use of spam filtering technologies can also be resolved.

People much prefer the work of filtering be done by someone else.

Interactive: the same as above but with the capability to do filtering.

Not carrying all groups is not the same as filtering.

I don't think Strong AI is hardly required for sophisticated filtering based on content.

I still find charting tools that do not allow interaction with the a group of charts to enable further filtering very lacking.

You don't actually need a PhD for nonsense filtering.

The "Filtering Data" example at the very bottom of this page [1] could be improved a bit.

My suggestion (or babble) was more so just pointing out how easily we could implement a "source content filtering" logic into an already existing interface..

And some of the filtering can be done with information theory, basic economics, probing deeper until you find the "and them some magic happens!" step, and some other non-biological tools that apply everywhere.

Directing a crawl against big chunks of the web and filtering the results to find the needle in the internet haystack has many challenges, and certainly puts our core work in the "Big Data" realm.

Filtering those manually became unworkable for me years ago.

Filtering was strictly something for users to do.