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<p class=MsoNormal><span style='color:#1F497D'>Hello,<o:p></o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'>The bX Recommender Service does
sound very promising. Nisa Bakkalbasi had also sent to me word of a
presentation by Nettie Legace of Ex Libris which she saw at the recent
Electronic Resources and Libraries conference:<o:p></o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'>"Services recommending
books - BibTip, LibraryThing, University of Huddersfield borrowing
recommendations, and articles - bX from Ex Libris, PubMed, Synthese (CISTI) now
exist in the academic context. JISC in the UK is sponsoring a major project,
MOSAIC: "Making Our Shared Activity Information Count." This session
will provide an overview of these recommendation systems, describe their
different approaches to data mining, and discuss their role in improving
information retrieval and user experience in a now nearly fully online
scholarly information world."<o:p></o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'>When the Usability and
Assessment Advisory Group looked at functionality needed for the next
generation catalog, one of the things that we thought should be available would
be ways to harness data about what patrons are using. Traditionally, scholars
have used citation information to know what articles and books are influential
in a field. Ejournals and services such as SFX record information about what
journals and articles are being accessed: the data recorded are a potentially
rich source of information that could also be used to identify key articles and
journals, in a way that would be faster than citation information. This wouldn’t
replace citation information, but it would add to it. It’s important to
note that this information is also not linked to individual patrons—data are
pooled, so that overall, not individual use, are being examined. <o:p></o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'>Scott Matheson and I have been
looking at ways we might improve the library’s interfaces by mining use
data. We’ve been concentrating on mining search log files
from the web site. Based on the what we are hearing, we will add bX to the list
of services to consider for making better use of data to improve interfaces and
services. If people hear of other promising services, please pass them
along. <o:p></o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'>Thanks,<o:p></o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'>Katie<o:p></o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
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<p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span
style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>
yulpub-bounces@mailman.yale.edu [mailto:yulpub-bounces@mailman.yale.edu] <b>On
Behalf Of </b>Kramer, Stefan<br>
<b>Sent:</b> Wednesday, February 17, 2010 4:07 PM<br>
<b>To:</b> yulwww@mailman.yale.edu; yulpub@mailman.yale.edu<br>
<b>Subject:</b> [Yulpub] Recommender services<br>
<b>Importance:</b> Low<o:p></o:p></span></p>
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<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>I attended a Library Journal-sponsored webinar about the <a
href="http://www.exlibrisgroup.com/category/bXOverview">bX Recommender Service</a>
today; it’s supposedly based on the <a
href="http://public.lanl.gov/herbertv/papers/jcdl06_accepted_version.pdf">work
of Bollen & Van de Sompel</a>. It sounds quite intriguing … has
something like this been considered at YUL? Other “recommendations
based on other readers’ choices” activities mentioned in the
webinar, aside from the ever-cited Amazon.com example, included <a
href="http://sero.co.uk/jisc-mosaic.html">MOSAIC</a> and <a
href="http://www.bibtip.org/">BibTip</a>.<o:p></o:p></p>
<p class=MsoNormal><span style='font-family:"Bookman Old Style","serif";
color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:"Bookman Old Style","serif";
color:#1F497D'>-- Stefan<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:"Bookman Old Style","serif";
color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><o:p> </o:p></p>
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