That’s what I’d like to see.
I saw that Zemanta was released in alpha yesterday; a blogging tool that uses an algorithm to scan what you are writing while you write it and offers up suggestions for related content from around the web. The tool integrates into existing blogging platforms such as WordPress and TypePad.
What interests me is the algorithm they use to scan the content of what you are writing.
I’d like to see this algorithm (or one similar) applied to a feed reader like Google reader. I’d like the reader to “know” the content of the posts that I read. If the reader could record the length of time I spend reading each post and factor in the amount of words in the post, it would be able to grade the interest I have on a certain topic or area.
I’d then be able to filter the new feeds as per my recorded liking which would save me lots of time by avoiding the posts I have least interest in. It would also, of course, be able to offer suggestions for new feeds, but that’s out there already. It’s once you subscribe that the battle begins..
Hi,
thanks for mentioning us. I’d just like to point you to apml.org - Attention Profiling Mark-up Language: The open standard for Attention Metadata that some readers are already starting to support that partially addresses your wishes.
–jure
Hi Jure,
Thanks, that looks interesting. Will explore.