Alexander Johannesen wrote:
>
> Absolutely agree, although I did start a prototype of a "heat engine"
> that uses a number of things (searches, checkouts, measure book's
> contextual proximity to other books that person or others have checked
> out, deflation over time, etc) to measure a more realistic "hotness"
> of a thing, including various contexts such as within "all books",
> "all dehingerated plosmosis diagnostics books", "all searches today",
> "book topics this month weighed against 5 popular news sites this
> year", "pictures of people", "recordings by / about people in the
> books searched this week", etc, etc. So many possibilities.
Take a look at: http://library.lanl.gov/cgi-bin/getfile?LA-UR-05-8420.pdf
They used usage data to create clusters of activity, and then user data
to link those clusters. So this creates clusters of "hot" and also
creates paths of searching that others could be allowed to follow (or
could be shown).
kc
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Karen Coyle / Digital Library Consultant
kcoyle@kcoyle.net http://www.kcoyle.net
ph.: 510-540-7596 skype: kcoylenet
fx.: 510-848-3913
mo.: 510-435-8234
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Received on Fri Aug 10 2007 - 07:55:28 EDT