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Preview: Comments on Geeking with Greg: Organizing chaos and information overload

Comments on Geeking with Greg: Organizing chaos and information overload





Updated: 2017-12-06T07:37:01.524-08:00

 



I don't know the answer to this but it seems to me...

2005-12-08T12:18:00.000-08:00

I don't know the answer to this but it seems to me these social software scenarios are usually shaking out to use either a predominantly human or a predominantly algorithmic solution. Its an open question what the right approach is to this issue at the moment for attention optimization, although memeorandum and its clones, which take an algorithmic approach seem to be the hottest new entrant to the field...of course the "algorithmic" approaches are just doing analysis of user intention anyway but its still a declarative versus imperative style difference between them and explicit recommendation systems like Digg.



An interesting quest, and it does seem to be neede...

2005-12-07T15:34:00.000-08:00

An interesting quest, and it does seem to be needed looking forward. Your blog does capture some of the ideas well. Though, I'm not sure the current personalization approach that relies on user history is going to be very fruitful.

To win this battle, the need is to be armed with data on what the community is reading and buzzing about. This data should be available in a timely way, and usable by the reader application to rate/rank content.

The big sites will be able to leverage their user base and larger databases, and smaller sites will need to federate their data to have the same ability to rank content for users.

Just as Google search ranks the mass of content, so should readers, and still let users read every page if desired.