Your SlideShare is downloading. ×
0
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Rise presentation for jisc online mtg 2011 06-02
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Rise presentation for jisc online mtg 2011 06-02

546

Published on

Published in: Technology, Career
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
546
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • So we push as much as possible through ezproxy. This includes EDS and SFX contentRISE approach is to use the ezprpxy data as Base layer of data comes from the ezproxylogfilesWe add data about which course students are studyingWe add search information from the RISE interfacesImprove data by sending queries to EDS and SFX
  • Blue – ezproxylogfilesGreen – added from internal data matchingGrey – added from searchesRed – from EDS and SFX
  • We have most data for course recommendations but only about six months worth – RISE gives us a reason to keep the data longer than we would otherwise related resources, we need more data – hypothesis would be that the recommendations improve the more data the recommendations engine sees
  • Undergraduates seem happy to have recommendations based on what other undergrads are looking atPostgrads want recommendations with an academic seal of approval
  • But we will review the EDINA data release to see if we need to modify to make it more compatible
  • Transcript

    • 1. Online Exchange event ‘Activity Data for Online Resources’2 June 2011Local Insights Recommendations Improve the Search Experience
      http://www.open.ac.uk/blogs/rise
    • 2. OU environment
      http://www.open.ac.uk/blogs/rise
    • 3. What resources are involved?
      http://www.open.ac.uk/blogs/rise
    • 4. How is the data extracted or collected?
      http://www.open.ac.uk/blogs/rise
    • 5. http://www.open.ac.uk/blogs/rise
    • 6. What attributes are available?
      EZProxy
      CIRCE
      RISE
      EDS/SFX
      http://www.open.ac.uk/blogs/rise
    • 7. http://www.open.ac.uk/blogs/rise
    • 8. What can the data tell us?
      Course recommendation
      Search recommendation
      Relationship recommendation
      People are looking at resources on this subject
      Subject data
      This resource is being used by people studying this course
      Resource management
      http://www.open.ac.uk/blogs/rise
    • 9. Is it useful 1?
      http://www.open.ac.uk/blogs/rise
    • 10. Is it useful 2?
      http://www.open.ac.uk/blogs/rise
    • 11. Can it be aggregated with other activity data?
      http://www.open.ac.uk/blogs/rise
    • 12. Are there legal issues, DPA, Rights?
      Privacy and opt-out URL
      http://library.open.ac.uk/rise/?page=privacy
      http://www.open.ac.uk/blogs/rise

    ×