Attention Profiling Mark-up Language: Difference between revisions
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URL = http://www.apml.org/ | URL = http://www.apml.org/ | ||
=Definition= | |||
"APML allows you to share your own attention data. That's data about what you have given your attention to; whether by browsing websites, reading RSS feeds or listening to music. You could then take your attention data profile and pass it to another website which would then be able to automatically customise itself to your preferences or interests." | |||
(http://www.bbc.co.uk/blogs/radiolabs/2008/01/apml_isnt_just_for_humans.shtml) | |||
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#Wikipedia article at http://en.wikipedia.org/wiki/APML | #Wikipedia article at http://en.wikipedia.org/wiki/APML | ||
#See also our entries on [[Attention]], [[Attention Data]], [[Lifelogging]] and [[Personal Data Streams]] | #See also our entries on [[Attention]], [[Attention Data]], [[Lifelogging]] and [[Personal Data Streams]] | ||
#[http://www.bbc.co.uk/blogs/radiolabs/2008/01/apml_isnt_just_for_humans.shtml Using APML for radio] | |||
[[Category:Encyclopedia]] | [[Category:Encyclopedia]] | ||
[[Category:Standards]] | [[Category:Standards]] | ||
Revision as of 04:49, 2 February 2008
= APML is an XML-based format for capturing a person's interests and dislikes.
URL = http://www.apml.org/
Definition
"APML allows you to share your own attention data. That's data about what you have given your attention to; whether by browsing websites, reading RSS feeds or listening to music. You could then take your attention data profile and pass it to another website which would then be able to automatically customise itself to your preferences or interests." (http://www.bbc.co.uk/blogs/radiolabs/2008/01/apml_isnt_just_for_humans.shtml)
Description
"APML will allow users to export and use their own personal Attention Profile in much the same way that OPML allows them to export their reading lists from Feed Readers.
The idea is to boil down all forms of Attention Data – including Browser History, OPML, Attention.XML, Email etc – to a portable file format containing a description of ranked user interests.
Imagine being able to export your Attention Profile from Amazon and plugging it into Digg to get an instantly customized view of the top Digg stories most relevant to your interests." (http://www.particls.com/blog/2006/02/apml-opml-for-attention.html)
More Information
- Wikipedia article at http://en.wikipedia.org/wiki/APML
- See also our entries on Attention, Attention Data, Lifelogging and Personal Data Streams
- Using APML for radio