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Implementation of personalisation systems in cultural heritage institutions
Implementing personalisation systems needs three components: structured content,
segmented target groups, and a set of rules that matches users groups with structured
content.
What is already in place in cultural heritage institutions is highly structured content in
form of metadata and in some cases, a very precise understanding of who the customers are.
However, what is missing are the rules that allow to match users and content as well as the
vocabularies or attributes to describe user segments in detail. At present, these vocabularies
are less developed or not available in cultural heritage institutions.They are also not reflec-
ted in the metadata that is currently collected to describe content. In addition, to allow
cross-sector searches, the use of controlled vocabulary would be necessary, as pointed out
earlier in this chapter.
Personalised services in cultural heritage
SchoolNet <http://www.ercim.org/scholnet/>: How can the dissemination of information
be personalised by alerting users in correspondence to their profiles? This was the focus of
the SchoolNet-project that was funded within the IST Programme of the European Union.
My Library <http://my.lib.ncsu.edu>: My library is a user-centred front end to the NCSU
libraries collection of Internet and information resources. It provides a customisable
interface to several types of information, including full-text databases, data sets,
bibliographic databases, electronic text, and direct access to librarians.
Headline <http://www.headline.ac.uk>:The project create the Headline Personal
Information Environment (PIE) to provide tailored responsive service to its users.
IX TECHNOLOGY
Personalisation: matching user interests with
structured content
User attributes
through profiling
Users
(interest profiles)
Content
(structured)
Rules
(matching users
and content)
Content attributes in
form of metadata
Matching through
market research
Mat
ching
Sour
ce: Salzburg Resear
ch, 2001
BRO
WSER