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ILI2009: Exploiting Usage Data

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My short (~10min) presentation at ILI2009.

TecnologiaEducação
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I Know What You Borrowed Last Summer Exploiting Usage Data in an Academic Library Dave Pattern Library Systems Manager University of Huddersfield, UK [email_address] www.daveyp.com
Preamble ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
University of Huddersfield Library ,[object Object],[object Object],[object Object],[object Object],[object Object]
Suggestions based on circ data “people who borrowed this…”
Borrowing profile average loans per month average number of book loans per month
Feature usage “people who borrowed this…” average number of clicks per month on “people who borrowed this” suggestions
Getting personal! suggestions for what to borrow next
Building better new book lists course specific RSS feeds
The impact on borrowing range of stock borrowed per year number of unique titles (bib#) borrowed per calendar year (2009 figure is predicted) ? borrowing suggestions added to catalogue at start of 2006
The impact on borrowing average number of books borrowed average number of books borrowed per active borrower per calendar year (2009 predicted)
Catalogue keyword searches keyword cloud eye candy…
Catalogue keyword searches guided searches
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Library usage data release “if you love something, set it free…”
[object Object],[object Object],[object Object],[object Object],Library usage data release “if you love something, set it free…”
Library usage data release “if you love something, set it free…”
 
 
JISC MOSAIC Project http://bit.ly/jiscmosaic
JISC MOSAIC Project developer competition
JISC MOSAIC Project developer competition
JISC MOSAIC Project developer competition
In summary… ,[object Object],[object Object],[object Object],[object Object]
Final recommendations… ,[object Object],[object Object],[object Object],[object Object]

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ILI2009: Exploiting Usage Data

Notas do Editor

  1. 2009 value is predicted
  2. 2009 value is predicted