{ "attachments": [], "comments_archived": true, "date": "2003-05-09T02:47:01.000Z", "layout": "post", "title": "Bayesian Filtering for what I DO want?", "wordpress_id": 415, "wordpress_slug": "rssbayes-now", "wordpress_url": "http://www.decafbad.com/blog/?p=415", "year": "2003", "month": "05", "day": "08", "isDir": false, "slug": "rssbayes-now", "type": "entry", "postName": "2003-05-08-rssbayes-now", "html": "
I've never gotten much spam. I closely guard the email addresses I care about. Spamex makes it simple but I did it before without Spamex. My problem is information overload. I'm much more interested in seeing the same thing for RSS. Instead of blocking stuff I don't want I want it to highlight the stuff I might want. \n\n\n\n

I've been out of the loop lately because I can't keep up with all of the feeds I would like to monitor. I need help.

\n
Source:matt.griffith: Where is RSSBayes?\n\n
\n\n\n\n\n\n

Ditto. Using a Bayesian approach, or some other form of machine learning, as applied\nto my aggregator and my viewing patterns is something I've been wanting for awhile now.\nI've done some very, very primitive self-monitoring with AmphetaOutlines, but I'd\nlike to get back to some machine learning research and build an enhanced\naggregator that learns what makes me click.

\n\n\n\n

shortname=rssbayes_now

\n

Archived Comments

\n\n\n\n
\n\n\n", "body": "
I've never gotten much spam. I closely guard the email addresses I care about. Spamex makes it simple but I did it before without Spamex. My problem is information overload. I'm much more interested in seeing the same thing for RSS. Instead of blocking stuff I don't want I want it to highlight the stuff I might want. \r\n

\r\nI've been out of the loop lately because I can't keep up with all of the feeds I would like to monitor. I need help.
\r\n
Source:matt.griffith: Where is RSSBayes?
\r\n

\r\nDitto. Using a Bayesian approach, or some other form of machine learning, as applied\r\nto my aggregator and my viewing patterns is something I've been wanting for awhile now.\r\nI've done some very, very primitive self-monitoring with AmphetaOutlines, but I'd\r\nlike to get back to some machine learning research and build an enhanced\r\naggregator that learns what makes me click.\r\n\r\nshortname=rssbayes_now\r\n\r\n
\r\n

Archived Comments

\r\n \r\n \r\n \r\n
\r\n ", "parentPath": "./content/posts/archives/2003", "path": "2003/05/08/rssbayes-now", "summary": "I've never gotten much spam. I closely guard the email addresses I care about. Spamex makes it simple but I did it before without Spamex. My problem is information overload. I'm much more interested in seeing the same thing for RSS. Instead of blocking stuff I don't want I want it to highlight the stuff I might want. \n\n\n\nI've been out of the loop lately because I can't keep up with all of the feeds I would like to monitor. I need help.\nSource:matt.griffith: Where is RSSBayes?\n\n\n\n\n\n\n\nDitto. Using a Bayesian approach, or some other form of machine learning, as applied\nto my aggregator and my viewing patterns is something I've been wanting for awhile now.\nI've done some very, very primitive self-monitoring with AmphetaOutlines, but I'd\nlike to get back to some machine learning research and build an enhanced\naggregator that learns what makes me click.", "needsBuild": true, "prevPostPath": "2003/05/07/itunes-rss", "prevPostTitle": "iTunes Music Store RSS Feeds", "nextPostPath": "2003/05/09/google-blog-clog", "nextPostTitle": "Google Blog Clog?" }