One of the more interesting ideas that came out of the BlogHer conference first panel regarding the relevance of sites like Technorati towards determining blog popularity and relevance was a proposal from Mary Hodder, who wants to create a community algorithm based on more than a single metric (inbound links). She's working on a system that incorporates 20+ different metrics, including how many times people link out, how many times people comment (relevantly), et cetera. The idea is to develop a system of metrics and bring proposals to places like Technorati, Icerocket, Feedster, etc. and create a dialogue about how we might change the way the tools themselves generate their lists of "top blogs" and top posts. What kind of metrics do you feel should be incorporated into tools that rank blogs by relevancy?
1. Good question? I'm thinking about it. What I am dong now in my system - Ideascape - is filtering delicious, flickr, and furl tags and users to find/discover relevant content. In other words, hitting the longtail using the wisdom of crowds.
Amy Gahran, contentious, has a post on bookmarking the commnets she leaves... http://blog.contentious.com/archives/2005/07/29/my-most-recent-comments
because "* Clue people in that there’s an interesting discussion going on somewhere – with the implicit invitation that they too can participate
* Highlight interesting content produced by other bloggers – but in a more compelling way than simply posting a link."
Good idea. It plays into the idea that a simple bookmarking sys, wisdom of crowds, works to a degree in finding relevancy.
Good luck
Posted at 8:05PM on Dec 18th 2005 by jim wilde