The document discusses how the University of Huddersfield library exploited usage data from over 3 million borrowing transactions to provide personalized book recommendations and improve borrowing habits. Features like "people who borrowed this" suggestions and course specific RSS feeds were added. Since 2006, when recommendations were added to the catalog, the number and variety of books borrowed has increased year over year. In 2008, the library released this usage data to encourage reuse, and it was quickly converted to RDF by another university. The presentation recommends libraries capture and release aggregated usage data with open licenses to power new applications.

1. 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

4. Suggestions based on circ data “people who borrowed this…”

5. Borrowing profile average loans per month average number of book loans per month

6. Feature usage “people who borrowed this…” average number of clicks per month on “people who borrowed this” suggestions

7. Getting personal! suggestions for what to borrow next

8. Building better new book lists course specific RSS feeds

9. 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

10. The impact on borrowing average number of books borrowed average number of books borrowed per active borrower per calendar year (2009 predicted)

11. Catalogue keyword searches keyword cloud eye candy…

12. Catalogue keyword searches guided searches

15. Library usage data release “if you love something, set it free…”

18. JISC MOSAIC Project http://bit.ly/jiscmosaic

19. JISC MOSAIC Project developer competition

20. JISC MOSAIC Project developer competition

21. JISC MOSAIC Project developer competition