|
"Particls reduces rivers of news to a trickle" |
|
Mark Jones,
Australian Financial Review |
|
|
|
“Particls is the coolest thing I’ve seen in
quite a while” |
|
Marshall Kirkpatrick,
TechCrunch |
|
|
|
“Particls has every chance of becoming a
standard” |
|
Michael Mahemoff,
Ajaxian |
|
|
|
“Particls is a powerful app that is going to
be a permanent addition to my desktop tools and
daily research setup.” |
|
Mark Johnson ,
TechZoogle |
|
Technology
Particls learns what you care about
and ranks incoming information against
that 'Attention Profile' in order to make a
presentation decision for incoming
content. It does this by using a number
of key technology pieces that include:
Universal AttentionData Reader (U-AR)
Convert multiple sources of Attention
Data into an
APML
file
Attention
Data comes in many forms including OPML,
email, IM conversations, Attention.XML,
Word/PDF documents, browser history,
bookmarks and more. Converting that data
into a compressed Attention Profile (APML
Format) can be a daunting
task. Particls's A-UR technology does
just that.
Inferred Applicability to Me (I-AM)
Compare incoming content against an
APML
file in order to return a "Personal
Relevancy Value"
APML
describes a user's ranked interests.
I-AM uses this Attention Profile, as
well as information from other sources,
to determine and return a value
representing the relevance of content to
the user.
Licensing
For
licensing enquiries please
contact us. |
