I've mentioned this to a small amount of people, but I'll put it out  
there to the 2000+ of the group.

I think there is a great opportunity for the aggregators to use  
Bayesian-type filtering (think email spam filters) to help gather  
videos of interest to the viewer. If the aggregator can ascertain the  
context from the blog post (and possibly the related tags in a  
directory like MeFeedia or FireAnt), then it can use that context to  
determine the "type" of video. It could then filter the videos  

Right now I have 373 unwatched videos in FireAnt. If it had a way to  
"learn" what I like, it could then "bubble up" the videos I want to  

Hopefully someone will run with this (MeFeedia, FireAnt, I/ON...anyone?)

My 2ยข.


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