Re: CRM-114 customization for chocolate?
Martin Steigerwald <[email protected]> Sat, 15 Oct 2011 12:13:54 +0200
| Newsgroups | gmane.mail.spam.crm114 |
|---|---|
| Message-ID | <[email protected]> |
Hi Bill, Am Freitag, 14. Oktober 2011 schrieben Sie: > Martin Steigerwald <[email protected]> writes: > >> What I would like to have is a mailreaver type system that > >> classifies messages into several categories, eg. personal messages, > >> work messages, desired commercial messages, etc. and spam. In this > >> way I could handle the desired commercial messages at my own > >> convenience (rather than having them interrupt my thoughts when > >> they randomly show up). Also spam/desired commercial errors would > >> be much less bothersome. I can think of a couple of different ways > >> of doing this (including maintaining a whitelist of desired > >> commercial senders, and flagging all undesired commercial e-mail as > >> spam, or running a cascade of standard mailreaver filters; first > >> separating commercial e-mail from everything else, and then > >> dividing commercial e-mail into good and bad). However I presume > >> others have thought about more generalized classification of > >> messages, and I realize than in the time I could implement this, > >> someone more directly skilled could do 10x the product at much > >> higher quality. > > > > as an idea. I thought CRM114 could actually replace manually setting > > up mail filters that sort mail into folders. I just drag mails in > > folders and CRM114 learns it. > > Multi-class differentiation is a _much_ harder problem. > > We've tried all sorts of ideas on the 20-newsgroups test-set (which is > sort of the "world standard" for this kind of problem, thank you Jason > Rennie) and we get what everyone else gets - about 90% correct > placement (i.e. 85% lower bound, 90% is a publishable result, and > 92% is the best reported by anyone anywhere to my knowledge) > > Interestingly, it does not seem to matter what the algorithm is; > you always get somewhere around 90% accuracy. Hmmmm... thanks for the information. So its (program-assisted) manually creating filters until research comes up with something different then... ;) Ciao, -- Martin 'Helios' Steigerwald - http://www.Lichtvoll.de GPG: 03B0 0D6C 0040 0710 4AFA B82F 991B EAAC A599 84C7 ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct