mike | Shared With: Everyone - Sep 15 2009 | digg, scalability
mike | Shared With: Everyone - Apr 26 2009 | api, web development, twitter, digg
mike | Shared With: Everyone - Apr 26 2009 | social, api, twitter, digg
mike | Shared With: Everyone - Dec 14 2008 | digg, web, video
Good introductory news story about Diggnation. What they don't say is the show is 90% about girls, potty-humor, and alcohol - 10% technology news.
Quoted: Alex Albrecht, one of the hosts of the popular video podcast Diggnation, wishes he'd picked a different beer. The selection he chose "tastes like beef jerky," he complains as he prepares for this week's show. "This is the worst beer ever," agrees his co-host, Kevin Rose.
mike | Shared With: Everyone - Nov 25 2008 | digg, diggnation, video
mike | Shared With: Everyone - Sep 25 2008 | digg, reddit, recommendations, algorithm
Rand's speculation on elements of a social ranking algorithm.
Quoted: At work today, Matt noted that he found Digg's algorithm far more interesting than Google's. I was shocked - after all, Digg isn't nearly as complex or widely used as Google, but with its rising popularity in the tech space, I could, at least, empathize with why he might feel that way. I also took it as a challenge to expose all the possible elements that might be in an algorithm at ...
mike | Shared With: Everyone - Sep 25 2008 | digg, recommendations
mike | Shared With: Everyone - Sep 23 2008 | reddit, digg, open source, python
mike | Shared With: Everyone - Aug 27 2008 | video, youtube, history, digg, del.icio.us, technorati, anthropology, michael wesch
click to playA new video by the creator of The Machine is Using Us. This one is long (1 hour).
Quoted: presented at the Library of Congress, June 23rd 2008. This was tons of fun to present. I decided to forgo the PowerPoint and instead worked with students to ...
mike | Shared With: Everyone - Jul 02 2008 | digg, recommendations, social, collaborative filtering
A fairly negative review of Digg's new recommendation algorithm.
Quoted: The [recommendation] Engine identifies Diggers like you to present stuff you might like, so keep Digging to get better recommendations.
Quoted: Digg's long awaited recommendation engine is now live for some users, which luckily includes me. It's time to take a look at what this new feature brings to
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