CRM-114 customization for chocolate?
Jonathan Edelson <winnie_pub-pZqBWja8vexWk0Htik3J/[email protected]> Tue, 04 Oct 2011 12:00:33 -0700
| Newsgroups | gmane.mail.spam.crm114 |
|---|---|
| Message-ID | <[email protected]> |
Hi, I know that this message itself verges on spam, but I hope that I've directed it enough and that it is quirky enough to hit most people's 'I'll let that slide/that interests me' filter :) I have a CRM-114 customization/feature request, and I was wondering if I could trade one of my peak skills (chocolate) for work that I could do only slowly and poorly (CMR114 coding). I have been using CRM-114 for about a year now, for my own personal e-mail, first running on a blog standard linux box, then running in linux environment inside of a 'virtualbox'. I use mailreaver and training via the e-mail interface. So far this has been working quite well. What I have noticed is that a significant portion of my (somewhat) desired 'solicited commercial e-mail' looks one hell of a lot like UCE. Which makes sense; very often the key difference between spam and proper sales e-mail is consent. When I train the desired stuff as good, it makes the undesired stuff look good as well. Additionally, while I actually want to see the desired stuff, I don't need to look at it as urgently as non-bulk mail. 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. My skills are electric motors and chocolate (I believe that WSY has had the chocolate; if not we have mutual friends who can attest to my skills); is anyone interested in a trade? Thanks, Jon Edelson (P.S. I attempted to send a similar message months ago, and never so it in the digest nor got an error...if it managed to get through then I apologize for the double post.) ------------------------------------------------------------------------------ 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-d2dcopy1