06 October 2008

Blogsci otra vez




divide all existing web-content
into units
(pix, videos, tweets, etc)

new units are added continually

units have authors
(but may be posted without attribution
or with false attribution)

each unit
hypothetically
has a potential value
for each surfer
(partially dependent
on the context of presentation:
i appreciate flickr minimalism more
when it's recommended by akiruna)

the goal is to efficiently find
as much highrated content
as you have time for
(lowering these standards
when you have extra time)




the primary filter
is recommender/linkblogger
subscribing to recommendations
from those we trust

(though recommenders
are usually more trustworthy
in some genres than others)

and a secondary filter
(fewer items per day)
is author

another filter is subject
subscribing to [tags]
eg on del.icio.us or flickr

and even worse is
popularity
aggregated recommendations
like digg or Favrd




linkbloggers
evaluate N items per day
and filter out M items
(M<<N)






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