taming the rss beast
DESCRIPTION
A look at current methods for dealing with RSS, and ideas for moving forward.TRANSCRIPT
Ilya Grigorik & Kevin Thomason
Looks familiar, right?
Microsoft’s study
* http://research.microsoft.com/acid/rss/default.aspx * http://www.igvita.com/blog/2006/12/21/reinventing-rss-readers/
Microsoft’s study
* http://research.microsoft.com/acid/rss/default.aspx * http://www.igvita.com/blog/2006/12/21/reinventing-rss-readers/
Average is 101+ ? Wow!
Average user = Opens reader 3 times * 30 minutes per sessionAverage user = 1.5 hours / day
I want to solve the question of ‘I don’t have any time and I subscribe to 500 feeds. I just got off the plane. What do I need to read?’ (Kevin Burton – Tailrank).
Wired Magazine, 2003
“Information overload”
“TechCrunch, for example, may now have almost 300,000 people subscribed to its feed who log on to their feed reader in a given day - but only a portion of those people view the TechCrunch feed in particular on a given day. I know I’m subscribed to many feeds that I almost never actually read, FeedBurner’s engagement metrics try to parse that behavior out from active readership.”
* http://www.wired.com/techbiz/it/news/2003/08/60053 * http://www.techcrunch.com/2007/02/22/feedburner-releases-major-user-engagement-report/* http://www.kinggary.com/archives/relieving-my-severe-addiction-to-feeds/
Techcrunch, 2007
Just a few minutes ago, I put my feed reader on a diet and unsubscribed to about 150 feeds, so that I’m now left with 53 feeds. I plan on skimming that down a bit more to, at most, 50 feeds, and plan on keeping it below that.
Gary King, yesterday…
is nothing new…
Solutions, or attempts at …1. Keyword filtering - solves some problems. (Google)
Assumes a priori knowledge of the topic I want to track. Semantic problems: car vs auto vs vehicle
2. Collaborative filteringClustering and memes – interesting, ends up as a popularity contest most of the time. (Tailrank.com)
Personalized systems – reading patterns, semantic analysis, user preferences – cold start problem.
Recommendation systems – If you like these 239 blogs, you may also like… STOP it!
3. AJAXified, prettified, shortcut enabled, javascript monstrosity Marginal improvements in usability, at best. (usually worse)
Hold on, let’s backtrack…
awesome!
Back in December…
Digg & Delicious frontpage
* http://www.igvita.com/blog/2006/12/29/postrank-rss-filtering/
PostRank
96 Comments Delicious & Dzone frontpage
etc.
Today we can…
OriginalFeed
(55 stories)
Just the hits, please. (5 stories)
Posts with an uptake. (14 stories)
The well received stuff. (23 stories)
1)
2)Track blog performance.
3)View blog history.
4) And other secret goodies.
In other words, we want to…
1. Let you read what matters2. Help you find the good stuff3. Enable you to view blog history & track performance
13 stories vanish
We’re launching, soon..
Chief Tech Plumber - UW CS, Grad Student at UoTChief Bean Counter - UW CS, Investment BankerChaos Coordinator - Laurier Business, Marketing (Apple, KPMG, Quarry)
Ilya GrigorikFrancis Lau
Kevin Thomason
[email protected]@[email protected]
Open for beta: early June. Launch date: June. (not kidding)
We need beta testers & we’ve got shwag.
If you’re interested, head to our blog (we launched it today)
http://www.aiderss.com/blog