The program for Elag 2010 is almost completed, but we are still looking
for somebody who would be willing to moderate a workshop on:
'Tweaking search results relevance ranking'
A workshop leader at Elag conferences prepares a starting document that
will help to discuss a topic during the workshop breaks at the
At the end of the conference each workshop will present their results at
a plenary session. The presenter does not have to be the workshop
So if you are interested in this topic and you were already coming to
helsinki in June or if this would be a good reason for you to go
there,please let me know asap. The theme is described as follows:
"Google has proved that having the most relevant results on the first
page works. So users expect any discovery tool to perform this way.
Google's pagerank algorithm is based on references between pages. Pages
that get linked to often are supposed to be important.
Traditional relevance ranking methods, using word frequencies etc, do
help but do not work as well. These algorithms are even less effective
in resources that lack full text, but only consists of metadata. On the
other hand, this metadata could be used to improve relevance ranking.
Knowledge about year of publication, loans frequency or impact factors
and lots of other meta data could be used to improve relevance ranking
in library catalogs and other bibliographies. And what about indexing
full text to improve relevance ranking ?"
P.S. If you have any other interesting topic that you would see a
workshop on and are willing to moderate, you may still suggest something
Drs. P.J.C. van Boheemen
Hoofd Applicatieontwikkeling en beheer - Bibliotheek Wageningen UR
Head of Application Development and Management - Wageningen University
and Research Library
tel. +31 317 48 25 17
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