“ Can You Dig It?” A Systems Perspective Dave Pattern Library Systems Manager University of Huddersfield [email_address]
<ul><li>“There comes a time in every rightly constructed boy’s life that he has a raging desire to go somewhere and dig fo...
Supermarkets <ul><li>“Supermarkets gain valuable insights into user behaviour by data mining purchases and uncovering usag...
Libraries…? <ul><li>“ Libraries  gain valuable insights into user behaviour by data mining  borrowing  and uncovering usag...
Libraries…? <ul><li>“Libraries  could  gain valuable insights into user behaviour by data mining borrowing and uncovering ...
Borrowing at Huddersfield <ul><li>13 years of circulation data </li></ul><ul><li>details of over 3 million transactions </...
Borrowing Suggestions
Borrowing Suggestions <ul><li>suggestions are generated by data mining the historical transaction data </li></ul><ul><li>r...
Personalised Suggestions
Personalised Suggestions <ul><li>generated by aggregating the recommendations for items most recently borrowed  …with a sp...
Lending Paths (beta)
Lending Paths (beta) <ul><li>if we’re recommending book B, is it normally borrowed before or after book A? </li></ul><ul><...
Usage Statistics for Staff
Usage Statistics for Staff
Usage Statistics for Staff
Usage Statistics for Staff
OPAC Keyword Searches <ul><li>all keyword searches are logged </li></ul><ul><li>the data can be mined to provide: </li></u...
Keyword Suggestions
Keyword Cloud
Common Zero Result Keywords <ul><li>“newspapermen” </li></ul><ul><li>“estimation” </li></ul><ul><li>“superficial” </li></u...
“Can You Dig It?” <ul><li>we’ve found gold in our own data and our services are richer for it… </li></ul>“Prospector” http...
“Can You Dig It?” <ul><li>there’s gold in your data… </li></ul>“Old Gold Mine”  http://www.flickr.com/photos/splatt/105898...
“Can You Dig It?” <ul><li>what if we collaborate?  …I’ll show you mine (my mine?), if you’ll show me yours! </li></ul>Norw...
Huddersfield’s Usage Data <ul><li>aggregated usage & recommendation data </li></ul><ul><li>Open Data Commons licence </li>...
Huddersfield’s Usage Data <ul><li>usage data for over 80,000 titles and 2,000,000 transactions, broken down by: </li></ul>...
“Let’s Work Together” <ul><li>I’ve shown you mine …now what’s stopping you from showing me yours? </li></ul>“peek-a-boo” h...
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Can You Dig It

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Short presentation given to the JISC TILE Project workshop in London. The presentation was done remotely via a video conferencing link.

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  • Not sure if it's just my PC, but if you jump around using the previous/next slide buttons, the audio doesn't always sync up :-S
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Can You Dig It

  1. 1. “ Can You Dig It?” A Systems Perspective Dave Pattern Library Systems Manager University of Huddersfield [email_address]
  2. 2. <ul><li>“There comes a time in every rightly constructed boy’s life that he has a raging desire to go somewhere and dig for hidden treasure.” </li></ul><ul><ul><li>Mark Twain, “The Adventures of Tom Sawyer” </li></ul></ul>
  3. 3. Supermarkets <ul><li>“Supermarkets gain valuable insights into user behaviour by data mining purchases and uncovering usage trends. Further insights are gained by analysing purchasing histories, facilitated by the use of store loyalty cards.” </li></ul>
  4. 4. Libraries…? <ul><li>“ Libraries gain valuable insights into user behaviour by data mining borrowing and uncovering usage trends. Further insights are gained by analysing borrowing histories, facilitated by the use of library cards.” </li></ul>
  5. 5. Libraries…? <ul><li>“Libraries could gain valuable insights into user behaviour by data mining borrowing and uncovering usage trends. Further insights could be gained by analysing borrowing histories, facilitated by the use of library cards.” …so, why aren’t we all busy doing it? </li></ul>
  6. 6. Borrowing at Huddersfield <ul><li>13 years of circulation data </li></ul><ul><li>details of over 3 million transactions </li></ul><ul><li>a goldmine of information… </li></ul><ul><li>…unfortunately, nobody was doing anything with the data!!! </li></ul>
  7. 7. Borrowing Suggestions
  8. 8. Borrowing Suggestions <ul><li>suggestions are generated by data mining the historical transaction data </li></ul><ul><li>ranking algorithm: </li></ul><ul><ul><li>number of people who borrowed both books A and B, divided by the total number of loans for book B …this helps avoid the “Harry Potter Effect” </li></ul></ul>
  9. 9. Personalised Suggestions
  10. 10. Personalised Suggestions <ul><li>generated by aggregating the recommendations for items most recently borrowed …with a sprinkling of randomness! </li></ul>
  11. 11. Lending Paths (beta)
  12. 12. Lending Paths (beta) <ul><li>if we’re recommending book B, is it normally borrowed before or after book A? </li></ul><ul><li>can we use that information to make predictions about future borrowing and give more timely recommendations? </li></ul>
  13. 13. Usage Statistics for Staff
  14. 14. Usage Statistics for Staff
  15. 15. Usage Statistics for Staff
  16. 16. Usage Statistics for Staff
  17. 17. OPAC Keyword Searches <ul><li>all keyword searches are logged </li></ul><ul><li>the data can be mined to provide: </li></ul><ul><ul><li>prompts/suggestions for searches </li></ul></ul><ul><ul><li>trends in keyword usage </li></ul></ul><ul><ul><li>common keywords that fail to produce results (e.g. “renew”) </li></ul></ul>
  18. 18. Keyword Suggestions
  19. 19. Keyword Cloud
  20. 20. Common Zero Result Keywords <ul><li>“newspapermen” </li></ul><ul><li>“estimation” </li></ul><ul><li>“superficial” </li></ul><ul><li>“ligament” </li></ul><ul><li>…also “asbo”, “chav”, “disneyfication”, “newszak” and “sudoku”! </li></ul><ul><li>…is this useful information for collection development?! </li></ul>
  21. 21. “Can You Dig It?” <ul><li>we’ve found gold in our own data and our services are richer for it… </li></ul>“Prospector” http://www.flickr.com/photos/tooliver/497511638/
  22. 22. “Can You Dig It?” <ul><li>there’s gold in your data… </li></ul>“Old Gold Mine” http://www.flickr.com/photos/splatt/1058989589/
  23. 23. “Can You Dig It?” <ul><li>what if we collaborate? …I’ll show you mine (my mine?), if you’ll show me yours! </li></ul>Norwegian mining plant http://www.flickr.com/photos/bzzzt/2458300944/
  24. 24. Huddersfield’s Usage Data <ul><li>aggregated usage & recommendation data </li></ul><ul><li>Open Data Commons licence </li></ul><ul><li>http:// library.hud.ac.uk/usagedata / </li></ul>
  25. 25. Huddersfield’s Usage Data <ul><li>usage data for over 80,000 titles and 2,000,000 transactions, broken down by: </li></ul><ul><ul><li>year </li></ul></ul><ul><ul><li>academic school </li></ul></ul><ul><ul><li>academic course (with relevant UCAS codes) </li></ul></ul><ul><li>recommendation data for over 37,000 titles </li></ul>
  26. 26. “Let’s Work Together” <ul><li>I’ve shown you mine …now what’s stopping you from showing me yours? </li></ul>“peek-a-boo” http://www.flickr.com/photos/96221617@N00/51603550/

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