{ "attachments": [], "comments_archived": true, "date": "2003-07-02T16:55:12.000Z", "layout": "post", "title": "Syndicating Whuffie", "wordpress_id": 435, "wordpress_slug": "syndicated-whuffie", "wordpress_url": "http://www.decafbad.com/blog/?p=435", "year": "2003", "month": "07", "day": "02", "isDir": false, "slug": "syndicated-whuffie", "type": "entry", "postName": "2003-07-02-syndicated-whuffie", "html": "
\n... there's excellent knowledge in blogs if only we had the tools to extract it. \n\n\n\n

What sort of tools? Relevance and reputation based feeds and\naggregators for one. The problem of quickly finding what's good from\namong the great muck of the blogosphere is, if you ask me, a far more\nurgent problem than seeing the correct authorship or harmonizing\ndc:date and pubDate before I even read the thing.

\n

... facilitate P2P trading of RSS from desktop to desktop as well as\nserver to desktop -- you subscribe to 1000 feeds, aggregate them, rate\nthem (explicitly or by statistical filtering based on past use\npatterns) and then rebroadcast your new rated feed. Aggregators could\nthen /use/ redundant items from feedback loops because each RSS source\nhas a reputation rating that weights the contained individual item\nranking; repeated items add their rankings.

\n
\n\n\n
Source:TeledyN: Echos of RSS\n\n
\n\n\n\n\n\n

Yes. This is it. This is what I want to see come next from aggregators\nand blogs and syndication and all this mess. It's what I've been tinkering\nwith in small steps for most of a year. It's what I intend BookmarkBlogger\nto facilitate, as well as AmphetaOutlines and the homebrew aggregator I'm\nhacking around with right now.

\n

At first thought, I'm not sure whether or not building and\nrepublishing RSS (or Echo) feeds is where it's at. But, the more I think\nabout it, the more it seems perfectly elegant to me. All the elements are\nthere, except for an extension to capture ratings. Extend aggregators to\nconsume these rating-enriched feeds, and instead of just spooling the items\nup into your view, extract and assimilate the ratings into a growing\nmatrix of rater versus rated. Apply all the various algorithms to\ncorrelate your rating history with that of others to whose ratings you\nsubscribe. Mix in a little Bayes along with other machine learning.

\n

As for the interface... well, that's a toughie. At present, I think I could\nsneak ratings into my daily routine by monitoring my BookmarkBlogger use and\nwatching the disclosure triangle clicks and link visits in my AmphetaOutlines\nbased news aggregator. I could easily see adding an iTunes-like 5-star\nrating interface, but unless I get some pretty significant payoff from\npainstakingly rating things, I'll never use it. At least in iTunes, I get\nto have playlists of my faves automatically jumbled together, if I remember\nto use the ratings in the moment.

\n

The cool thing will be when sites like\nTechnorati and Feedster start\nusing these ratings, but the even cooler thing is when all that's on\nmy desktop. This could be easy, though, couldn't it? What do we call\nit, Syndicated Whuffie?

\n

(Which reminds me: Eventually, we really gotta get back to the subscription\nproblem. All these agents polling files everywhere will get to be nasty.\nObviously. This has been talked about already, but little has happened.\nWe need some ?PubSub, maybe some caches and concentrators. All stuff that's\nbeen mentioned in passing before, and left by the wayside as unsexy.)

\n\n\n\n

shortname=syndicated_whuffie

\n

Archived Comments

\n\n\n\n
\n\n\n", "body": "
\r\n... there's excellent knowledge in blogs if only we had the tools to extract it. \r\n

\r\nWhat sort of tools? Relevance and reputation based feeds and\r\naggregators for one. The problem of quickly finding what's good from\r\namong the great muck of the blogosphere is, if you ask me, a far more\r\nurgent problem than seeing the correct authorship or harmonizing\r\ndc:date and pubDate before I even read the thing.\r\n

\r\n... facilitate P2P trading of RSS from desktop to desktop as well as\r\nserver to desktop -- you subscribe to 1000 feeds, aggregate them, rate\r\nthem (explicitly or by statistical filtering based on past use\r\npatterns) and then rebroadcast your new rated feed. Aggregators could\r\nthen /use/ redundant items from feedback loops because each RSS source\r\nhas a reputation rating that weights the contained individual item\r\nranking; repeated items add their rankings.\r\n
\r\n
Source:TeledyN: Echos of RSS
\r\n

\r\nYes. This is it. This is what I want to see come next from aggregators\r\nand blogs and syndication and all this mess. It's what I've been tinkering\r\nwith in small steps for most of a year. It's what I intend BookmarkBlogger\r\nto facilitate, as well as AmphetaOutlines and the homebrew aggregator I'm\r\nhacking around with right now.\r\n

\r\nAt first thought, I'm not sure whether or not building and\r\nrepublishing RSS (or Echo) feeds is where it's at. But, the more I think\r\nabout it, the more it seems perfectly elegant to me. All the elements are\r\nthere, except for an extension to capture ratings. Extend aggregators to\r\nconsume these rating-enriched feeds, and instead of just spooling the items\r\nup into your view, extract and assimilate the ratings into a growing\r\nmatrix of rater versus rated. Apply all the various algorithms to\r\ncorrelate your rating history with that of others to whose ratings you\r\nsubscribe. Mix in a little Bayes along with other machine learning.\r\n

\r\nAs for the interface... well, that's a toughie. At present, I think I could\r\nsneak ratings into my daily routine by monitoring my BookmarkBlogger use and\r\nwatching the disclosure triangle clicks and link visits in my AmphetaOutlines\r\nbased news aggregator. I could easily see adding an iTunes-like 5-star\r\nrating interface, but unless I get some pretty significant payoff from\r\npainstakingly rating things, I'll never use it. At least in iTunes, I get\r\nto have playlists of my faves automatically jumbled together, if I remember\r\nto use the ratings in the moment. \r\n

\r\nThe cool thing will be when sites like\r\nTechnorati and Feedster start\r\nusing these ratings, but the even cooler thing is when all that's on\r\nmy desktop. This could be easy, though, couldn't it? What do we call\r\nit, Syndicated Whuffie?\r\n

\r\n(Which reminds me: Eventually, we really gotta get back to the subscription\r\nproblem. All these agents polling files everywhere will get to be nasty.\r\nObviously. This has been talked about already, but little has happened.\r\nWe need some ?PubSub, maybe some caches and concentrators. All stuff that's\r\nbeen mentioned in passing before, and left by the wayside as unsexy.)\r\n\r\nshortname=syndicated_whuffie\r\n\r\n
\r\n

Archived Comments

\r\n \r\n \r\n \r\n
\r\n ", "parentPath": "./content/posts/archives/2003", "path": "2003/07/02/syndicated-whuffie", "summary": "... there's excellent knowledge in blogs if only we had the tools to extract it. \n\n\n\nWhat sort of tools? Relevance and reputation based feeds and\naggregators for one. The problem of quickly finding what's good from\namong the great muck of the blogosphere is, if you ask me, a far more\nurgent problem than seeing the correct authorship or harmonizing\ndc:date and pubDate before I even read the thing.\n... facilitate P2P trading of RSS from desktop to desktop as well as\nserver to desktop -- you subscribe to 1000 feeds, aggregate them, rate\nthem (explicitly or by statistical filtering based on past use\npatterns) and then rebroadcast your new rated feed. Aggregators could\nthen /use/ redundant items from feedback loops because each RSS source\nhas a reputation rating that weights the contained individual item\nranking; repeated items add their rankings.\n\n\n\nSource:TeledyN: Echos of RSS\n\n\n\n\n\n\n\nYes. This is it. This is what I want to see come next from aggregators\nand blogs and syndication and all this mess. It's what I've been tinkering\nwith in small steps for most of a year. It's what I intend BookmarkBlogger\nto facilitate, as well as AmphetaOutlines and the homebrew aggregator I'm\nhacking around with right now.\nAt first thought, I'm not sure whether or not building and\nrepublishing RSS (or Echo) feeds is where it's at. But, the more I think\nabout it, the more it seems perfectly elegant to me. All the elements are\nthere, except for an extension to capture ratings. Extend aggregators to\nconsume these rating-enriched feeds, and instead of just spooling the items\nup into your view, extract and assimilate the ratings into a growing\nmatrix of rater versus rated. Apply all the various algorithms to\ncorrelate your rating history with that of others to whose ratings you\nsubscribe. Mix in a little Bayes along with other machine learning.\nAs for the interface... well, that's a toughie. At present, I think I could\nsneak ratings into my daily routine by monitoring my BookmarkBlogger use and\nwatching the disclosure triangle clicks and link visits in my AmphetaOutlines\nbased news aggregator. I could easily see adding an iTunes-like 5-star\nrating interface, but unless I get some pretty significant payoff from\npainstakingly rating things, I'll never use it. At least in iTunes, I get\nto have playlists of my faves automatically jumbled together, if I remember\nto use the ratings in the moment. \nThe cool thing will be when sites like\nTechnorati and Feedster start\nusing these ratings, but the even cooler thing is when all that's on\nmy desktop. This could be easy, though, couldn't it? What do we call\nit, Syndicated Whuffie?\n(Which reminds me: Eventually, we really gotta get back to the subscription\nproblem. All these agents polling files everywhere will get to be nasty.\nObviously. This has been talked about already, but little has happened.\nWe need some ?PubSub, maybe some caches and concentrators. All stuff that's\nbeen mentioned in passing before, and left by the wayside as unsexy.)", "needsBuild": true, "prevPostPath": "2003/06/30/plz-fix-xmlrpc-spec", "prevPostTitle": "Please fix the XML-RPC spec", "nextPostPath": "2003/07/05/added-a-scroll", "nextPostTitle": "Added a scroller?" }